-
1
-
-
0003530945
-
Methods of Information Geometry
-
Oxford: Oxford University Press.
-
Amari, S. and Nagaoka, H. (2000) Methods of Information Geometry. Oxford: Oxford University Press.
-
(2000)
-
-
Amari, S.1
Nagaoka, H.2
-
2
-
-
77953523599
-
Particle Markov chain Monte Carlo methods (with discussion)
-
Andrieu, C., Doucet, A. and Holenstein, R. (2010) Particle Markov chain Monte Carlo methods (with discussion). J. R. Statist. Soc. B, 72, 269-342.
-
(2010)
J. R. Statist. Soc. B
, vol.72
, pp. 269-342
-
-
Andrieu, C.1
Doucet, A.2
Holenstein, R.3
-
3
-
-
57849088168
-
A tutorial on adaptive MCMC
-
Andrieu, C. and Thoms, J. (2008) A tutorial on adaptive MCMC. Statist. Comput., 18, 343-373.
-
(2008)
Statist. Comput.
, vol.18
, pp. 343-373
-
-
Andrieu, C.1
Thoms, J.2
-
4
-
-
0002303010
-
The role of differential geometry in statistical theory
-
Barndorff-Nielsen, O. E., Cox, D. R. and Reid, N. (1986) The role of differential geometry in statistical theory. Int. Statist. Rev., 54, 83-96.
-
(1986)
Int. Statist. Rev.
, vol.54
, pp. 83-96
-
-
Barndorff-Nielsen, O.E.1
Cox, D.R.2
Reid, N.3
-
6
-
-
0003610530
-
Technical Report
-
Department of Statistical Science, University College London, London. (Available from)
-
Beskos, A., Pillai, N., Roberts, G., Sanz-Serna, J. M. and Stuart, A. (2010) Optimal tuning of the Hybrid Monte-Carlo algorithm. Technical Report. Department of Statistical Science, University College London, London. (Available from)
-
(2010)
Optimal tuning of the Hybrid Monte-Carlo algorithm
-
-
Beskos, A.1
Pillai, N.2
Roberts, G.3
Sanz-Serna, J.M.4
Stuart, A.5
-
7
-
-
69449098014
-
Estimating Bayes factors via thermodynamic integration and population MCMC
-
Calderhead, B. and Girolami, M. (2009) Estimating Bayes factors via thermodynamic integration and population MCMC. Computnl Statist. Data Anal., 53, 4028-4045.
-
(2009)
Computnl Statist. Data Anal.
, vol.53
, pp. 4028-4045
-
-
Calderhead, B.1
Girolami, M.2
-
8
-
-
78049443039
-
Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes
-
Calderhead, B., Girolami, M. and Lawrence, N. D. (2009) Accelerating Bayesian inference over nonlinear differential equations with Gaussian processes. Adv. Neur. Inform. Process., 21, 217-224.
-
(2009)
Adv. Neur. Inform. Process.
, vol.21
, pp. 217-224
-
-
Calderhead, B.1
Girolami, M.2
Lawrence, N.D.3
-
9
-
-
34447319494
-
Geometric Mechanics on Riemannian Manifolds
-
Basel: Birkhäuser.
-
Calin, O. and Chang, D. C. (2004) Geometric Mechanics on Riemannian Manifolds. Basel: Birkhäuser.
-
(2004)
-
-
Calin, O.1
Chang, D.C.2
-
10
-
-
16244387937
-
Scaling limits for the transient phase of local Metropolis-Hastings algorithms
-
Christensen, O. F., Roberts, G. O. and Rosenthal, J. S. (2005) Scaling limits for the transient phase of local Metropolis-Hastings algorithms. J. R. Statist. Soc. B, 67, 253-268.
-
(2005)
J. R. Statist. Soc. B
, vol.67
, pp. 253-268
-
-
Christensen, O.F.1
Roberts, G.O.2
Rosenthal, J.S.3
-
11
-
-
0003585463
-
Lectures from Markov Processes to Brownian Motion
-
New York: Springer.
-
Chung, K. L. (1982) Lectures from Markov Processes to Brownian Motion. New York: Springer.
-
(1982)
-
-
Chung, K.L.1
-
12
-
-
21344483516
-
Preferred point geometry and statistical manifolds
-
Critchley, F., Marriott, P. K. and Salmon, M. (1993) Preferred point geometry and statistical manifolds. Ann. Statist., 21, 1197-1224.
-
(1993)
Ann. Statist.
, vol.21
, pp. 1197-1224
-
-
Critchley, F.1
Marriott, P.K.2
Salmon, M.3
-
13
-
-
0000399239
-
Discussion on 'Defining the curvature of a statistical problem (with applications to second-order efficiency' (by B. Efron)
-
Dawid, A. P. (1975) Discussion on 'Defining the curvature of a statistical problem (with applications to second-order efficiency' (by B. Efron). Ann. Statist., 3, 1231-1234.
-
(1975)
Ann. Statist.
, vol.3
, pp. 1231-1234
-
-
Dawid, A.P.1
-
14
-
-
4243137056
-
Hybrid Monte Carlo
-
Duane, S., Kennedy, A. D., Pendleton, B. J. and Roweth, D. (1987) Hybrid Monte Carlo. Phys. Lett. B, 195, 216-222.
-
(1987)
Phys. Lett. B
, vol.195
, pp. 216-222
-
-
Duane, S.1
Kennedy, A.D.2
Pendleton, B.J.3
Roweth, D.4
-
15
-
-
0000551847
-
Defining the curvature of a statistical problem (with applications to second-order efficiency)
-
Efron, B. (1975) Defining the curvature of a statistical problem (with applications to second-order efficiency). Ann. Statist., 3, 1189-1242.
-
(1975)
Ann. Statist.
, vol.3
, pp. 1189-1242
-
-
Efron, B.1
-
16
-
-
0018115641
-
Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information
-
Efron, B. and Hinkley, D. V. (1978) Assessing the accuracy of the maximum likelihood estimator: observed versus expected Fisher information. Biometrika, 65, 457-487.
-
(1978)
Biometrika
, vol.65
, pp. 457-487
-
-
Efron, B.1
Hinkley, D.V.2
-
17
-
-
77953081438
-
Extending Fisher's measure of information
-
Ferreira, P. E. (1981) Extending Fisher's measure of information. Biometrika, 68, 695-698.
-
(1981)
Biometrika
, vol.68
, pp. 695-698
-
-
Ferreira, P.E.1
-
18
-
-
0042042167
-
Sampling from the posterior distribution in generalized linear mixed models
-
Gamerman, D. (1997) Sampling from the posterior distribution in generalized linear mixed models. Statist. Comput., 7, 57-68.
-
(1997)
Statist. Comput.
, vol.7
, pp. 57-68
-
-
Gamerman, D.1
-
19
-
-
0004012196
-
Bayesian Data Analysis
-
New York: Chapman and Hall.
-
Gelman, A., Carlin, J. B., Stern, H. S. and Rubin, D. B. (2004) Bayesian Data Analysis. New York: Chapman and Hall.
-
(2004)
-
-
Gelman, A.1
Carlin, J.B.2
Stern, H.S.3
Rubin, D.B.4
-
20
-
-
84972511893
-
Practical Markov Chain Monte Carlo
-
Geyer, C. J. (1992) Practical Markov Chain Monte Carlo. Statist. Sci., 7, 473-483.
-
(1992)
Statist. Sci.
, vol.7
, pp. 473-483
-
-
Geyer, C.J.1
-
21
-
-
0030980644
-
Large hierarchical Bayesian analysis of multivariate survival data
-
Gustafson, P. (1997) Large hierarchical Bayesian analysis of multivariate survival data. Biometrics, 53, 230-242.
-
(1997)
Biometrics
, vol.53
, pp. 230-242
-
-
Gustafson, P.1
-
22
-
-
0003835647
-
Geometric Numerical Integration, Structure Preserving Algorithms for Ordinary Differential Equations
-
2nd edn. Berlin: Springer.
-
Hairer, E., Lubich, C. and Wanner, G. (2006) Geometric Numerical Integration, Structure Preserving Algorithms for Ordinary Differential Equations, 2nd edn. Berlin: Springer.
-
(2006)
-
-
Hairer, E.1
Lubich, C.2
Wanner, G.3
-
23
-
-
34247598888
-
Efficient cosmological parameter estimation with Hamiltonian Monte Carlo technique
-
083525-1-11.
-
Hajian, A. (2007) Efficient cosmological parameter estimation with Hamiltonian Monte Carlo technique. Phys. Rev. D, 75, 083525-1-11.
-
(2007)
Phys. Rev. D
, vol.75
-
-
Hajian, A.1
-
24
-
-
0034847223
-
Markov Chain Monte Carlo posterior sampling with the Hamiltonian method
-
Hanson, K. M. (2001) Markov Chain Monte Carlo posterior sampling with the Hamiltonian method. Proc. SPIE, 4322, 456-467.
-
(2001)
Proc. SPIE
, vol.4322
, pp. 456-467
-
-
Hanson, K.M.1
-
26
-
-
77956890234
-
Monte Carlo sampling methods using Markov chains and their applications
-
Hastings, W. K. (1970) Monte Carlo sampling methods using Markov chains and their applications. Biometrika, 57, 97-109.
-
(1970)
Biometrika
, vol.57
, pp. 97-109
-
-
Hastings, W.K.1
-
27
-
-
84867151416
-
Bayesian auxiliary variable models for binary and multinomial regression
-
Holmes, C. C. and Held, L. (2005) Bayesian auxiliary variable models for binary and multinomial regression. Baysn Anal., 1, 145-168.
-
(2005)
Baysn Anal.
, vol.1
, pp. 145-168
-
-
Holmes, C.C.1
Held, L.2
-
28
-
-
79551487646
-
Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes
-
Honkela, A., Raiko, T., Kuusela, M., Tornio, M. and Karhunen, J. (2010) Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes. J. Mach. Learn. Res., 11, 3235-3268.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 3235-3268
-
-
Honkela, A.1
Raiko, T.2
Kuusela, M.3
Tornio, M.4
Karhunen, J.5
-
29
-
-
0032787276
-
An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers
-
Husmeier, D., Penny, W. and Roberts, S. J. (1999) An empirical evaluation of Bayesian sampling with hybrid Monte Carlo for training neural network classifiers. Neur. Netwrks, 12, 677-705.
-
(1999)
Neur. Netwrks
, vol.12
, pp. 677-705
-
-
Husmeier, D.1
Penny, W.2
Roberts, S.J.3
-
30
-
-
8644257632
-
Applications of hybrid Monte Carlo to Bayesian generalised linear models: quasicomplete separation and neural networks
-
Ishwaran, H. (1999) Applications of hybrid Monte Carlo to Bayesian generalised linear models: quasicomplete separation and neural networks. J. Computnl Graph. Statist., 8, 779-799.
-
(1999)
J. Computnl Graph. Statist.
, vol.8
, pp. 779-799
-
-
Ishwaran, H.1
-
31
-
-
0003784110
-
Ordinal Data Modeling
-
New York: Springer.
-
Johnson, V. E., Krantz, S. G. and Albert, J. H. (1999) Ordinal Data Modeling. New York: Springer.
-
(1999)
-
-
Johnson, V.E.1
Krantz, S.G.2
Albert, J.H.3
-
32
-
-
84972503977
-
The geometry of asymptotic inference
-
Kass, R. E. (1989) The geometry of asymptotic inference. Statist. Sci., 4, 188-234.
-
(1989)
Statist. Sci.
, vol.4
, pp. 188-234
-
-
Kass, R.E.1
-
33
-
-
0001306694
-
Time reversible diffusions
-
Kent, J. (1978) Time reversible diffusions. Adv. Appl. Probab., 10, 819-835.
-
(1978)
Adv. Appl. Probab.
, vol.10
, pp. 819-835
-
-
Kent, J.1
-
34
-
-
0001251517
-
Stochastic volatility: likelihood inference and comparison with ARCH models
-
Kim, S., Shephard, N. and Chib, S. (1998) Stochastic volatility: likelihood inference and comparison with ARCH models. Rev. Econ. Stud., 65, 361-393.
-
(1998)
Rev. Econ. Stud.
, vol.65
, pp. 361-393
-
-
Kim, S.1
Shephard, N.2
Chib, S.3
-
35
-
-
58649107876
-
Bayesian density estimation from grouped continuous data
-
Lambert, P. and Eilers, P. H. C. (2009) Bayesian density estimation from grouped continuous data. Computnl Statist. Data Anal., 53, 1388-1399.
-
(2009)
Computnl Statist. Data Anal.
, vol.53
, pp. 1388-1399
-
-
Lambert, P.1
Eilers, P.H.C.2
-
36
-
-
0000772138
-
Differential Geometry in Statistical Inference
-
In - Hayward: Institute of Mathematical Statistics.
-
Lauritzen, S. L. (1987) Statistical manifolds. In Differential Geometry in Statistical Inference, pp. 165-216. Hayward: Institute of Mathematical Statistics.
-
(1987)
Statistical manifolds
, pp. 165-216
-
-
Lauritzen, S.L.1
-
37
-
-
28844494719
-
Simulating Hamiltonian Dynamics
-
Cambridge: Cambridge University Press.
-
Leimkuhler, B. and Reich, S. (2004) Simulating Hamiltonian Dynamics. Cambridge: Cambridge University Press.
-
(2004)
-
-
Leimkuhler, B.1
Reich, S.2
-
38
-
-
0004182828
-
Monte Carlo Strategies in Scientific Computing
-
New York: Springer.
-
Liu, J. S. (2001) Monte Carlo Strategies in Scientific Computing. New York: Springer.
-
(2001)
-
-
Liu, J.S.1
-
39
-
-
0037340625
-
Are Hamiltonian flows geodesic flows?
-
McCord, C., Meyer, K. R. and Offin, D. (2002) Are Hamiltonian flows geodesic flows? Trans. Am. Math. Soc., 355, 1237-1250.
-
(2002)
Trans. Am. Math. Soc.
, vol.355
, pp. 1237-1250
-
-
Mccord, C.1
Meyer, K.R.2
Offin, D.3
-
40
-
-
5744249209
-
Equation of state calculations by fast computing machines
-
Metropolis, M., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H. and Teller, E. (1953) Equation of state calculations by fast computing machines. J. Chem. Phys., 21, 1087-1092.
-
(1953)
J. Chem. Phys.
, vol.21
, pp. 1087-1092
-
-
Metropolis, M.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
41
-
-
0003612091
-
Machine Learning, Neural and Statistical Classification
-
Englewood Cliffs: Prentice Hall.
-
Michie, D., Spiegelhalter, D. J. and Taylor, C. C. (1994) Machine Learning, Neural and Statistical Classification. Englewood Cliffs: Prentice Hall.
-
(1994)
-
-
Michie, D.1
Spiegelhalter, D.J.2
Taylor, C.C.3
-
42
-
-
0004277797
-
Differential Geometry and Statistics
-
New York: Chapman and Hall.
-
Murray, M. K. and Rice, J. W. (1993) Differential Geometry and Statistics. New York: Chapman and Hall.
-
(1993)
-
-
Murray, M.K.1
Rice, J.W.2
-
44
-
-
0037591475
-
Bayesian learning via stochastic dynamics
-
Neal, R. M. (1993b) Bayesian learning via stochastic dynamics. Adv. Neur. Inform. Process. Syst., 5, 475-482.
-
(1993)
Adv. Neur. Inform. Process. Syst.
, vol.5
, pp. 475-482
-
-
Neal, R.M.1
-
46
-
-
79251576558
-
Handbook of Markov Chain Monte Carlo
-
(eds S. Brooks, A. Gelman, G. Jones and X.-L. Meng). Boca Raton: Chapman and Hall-CRC Press.
-
Neal, R. M. (2010) MCMC using Hamiltonian dynamics. In Handbook of Markov Chain Monte Carlo (eds S. Brooks, A. Gelman, G. Jones and X.-L. Meng). Boca Raton: Chapman and Hall-CRC Press.
-
(2010)
MCMC using Hamiltonian dynamics
-
-
Neal, R.M.1
-
48
-
-
35648981518
-
Parameter estimation for differential equations: a generalized smoothing approach
-
(with discussion).
-
Ramsay, J. O., Hooker, G., Campbell, D. and Cao, J. (2007) Parameter estimation for differential equations: a generalized smoothing approach (with discussion). J. R. Statist. Soc. B, 69, 741-796.
-
(2007)
J. R. Statist. Soc. B
, vol.69
, pp. 741-796
-
-
Ramsay, J.O.1
Hooker, G.2
Campbell, D.3
Cao, J.4
-
49
-
-
0001915002
-
Information and accuracy attainable in the estimation of statistical parameters
-
Rao, C. R. (1945) Information and accuracy attainable in the estimation of statistical parameters. Bull. Calc. Math. Soc., 37, 81-91.
-
(1945)
Bull. Calc. Math. Soc.
, vol.37
, pp. 81-91
-
-
Rao, C.R.1
-
50
-
-
84953405534
-
Pattern Recognition and Neural Networks
-
Cambridge: Cambridge University Press.
-
Ripley, B. D. (1996) Pattern Recognition and Neural Networks. Cambridge: Cambridge University Press.
-
(1996)
-
-
Ripley, B.D.1
-
51
-
-
0003919677
-
Monte Carlo Statistical Methods
-
New York: Springer.
-
Robert, C. and Casella, G. (2004) Monte Carlo Statistical Methods. New York: Springer.
-
(2004)
-
-
Robert, C.1
Casella, G.2
-
52
-
-
0000936678
-
Optimal scaling of discrete approximations to Langevin diffusions
-
Roberts, G. O. and Rosenthal, J. S. (1998) Optimal scaling of discrete approximations to Langevin diffusions. J. R. Statist. Soc. B, 60, 255-268.
-
(1998)
J. R. Statist. Soc. B
, vol.60
, pp. 255-268
-
-
Roberts, G.O.1
Rosenthal, J.S.2
-
53
-
-
15244341043
-
Langevin diffusions and Metropolis-Hastings algorithms
-
Roberts, G. and Stramer, O. (2003) Langevin diffusions and Metropolis-Hastings algorithms. Methodol. Comput. Appl. Probab., 4, 337-358.
-
(2003)
Methodol. Comput. Appl. Probab.
, vol.4
, pp. 337-358
-
-
Roberts, G.1
Stramer, O.2
-
54
-
-
62849120031
-
Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion)
-
Rue, H., Martino, S. and Chopin, N. (2009) Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations (with discussion). J. R. Statist. Soc. B, 71, 319-392.
-
(2009)
J. R. Statist. Soc. B
, vol.71
, pp. 319-392
-
-
Rue, H.1
Martino, S.2
Chopin, N.3
-
55
-
-
79952302215
-
European Space Agency-European Union Satellite Conf. Image Information Mining for Security and Intelligence
-
In (Available from)
-
Skilling, J. (2006) Probability and geometry. In European Space Agency-European Union Satellite Conf. Image Information Mining for Security and Intelligence. (Available from)
-
(2006)
Probability and geometry
-
-
Skilling, J.1
-
56
-
-
29544451379
-
Monte Carlo computation of the Fisher information matrix in nonstandard settings
-
Spall, J. C. (2005) Monte Carlo computation of the Fisher information matrix in nonstandard settings. J. Computnl Graph. Statist., 14, 889-909.
-
(2005)
J. Computnl Graph. Statist.
, vol.14
, pp. 889-909
-
-
Spall, J.C.1
-
57
-
-
0000370393
-
Design of experiment for bioassay
-
Tsutakawa, R. K. (1972) Design of experiment for bioassay. J. Am. Statist. Ass., 67, 584-590.
-
(1972)
J. Am. Statist. Ass.
, vol.67
, pp. 584-590
-
-
Tsutakawa, R.K.1
-
59
-
-
40749094910
-
Bayesian ranking of biochemical system models
-
Vyshemirsky, V. and Girolami, M. (2008) Bayesian ranking of biochemical system models. Bioinformatics, 24, 833-839.
-
(2008)
Bioinformatics
, vol.24
, pp. 833-839
-
-
Vyshemirsky, V.1
Girolami, M.2
-
60
-
-
0040333774
-
Manifold stochastic dynamics for Bayesian learning
-
Zlochin, M. and Baram, Y. (2001) Manifold stochastic dynamics for Bayesian learning. Neur. Computn, 13, 2549-2572.
-
(2001)
Neur. Computn
, vol.13
, pp. 2549-2572
-
-
Zlochin, M.1
Baram, Y.2
-
61
-
-
84884085211
-
Optimization Algorithms on Matrix Manifolds
-
Princeton: Princeton University Press.
-
Absil, P. A., Mahony, R. and Sepulchre, R. (2008) Optimization Algorithms on Matrix Manifolds. Princeton: Princeton University Press.
-
(2008)
-
-
Absil, P.A.1
Mahony, R.2
Sepulchre, R.3
-
62
-
-
0032381318
-
Fisher information and maximum-likelihood estimation of covariance parameters in Gaussian stochastic processess
-
Abt, M. and Welch, W. (1998) Fisher information and maximum-likelihood estimation of covariance parameters in Gaussian stochastic processess. Can. J. Statist., 26, 127-137.
-
(1998)
Can. J. Statist.
, vol.26
, pp. 127-137
-
-
Abt, M.1
Welch, W.2
-
63
-
-
0000344740
-
Differential geometry of curved exponential families-curvatures and information loss
-
Amari, S. (1982) Differential geometry of curved exponential families-curvatures and information loss. Ann. Statist., 10, 357-385.
-
(1982)
Ann. Statist.
, vol.10
, pp. 357-385
-
-
Amari, S.1
-
64
-
-
0003355631
-
Differential-geometrical methods in statistics
-
Amari, S.-I. (1985) Differential-geometrical methods in statistics. Lect. Notes Statist., 28.
-
(1985)
Lect. Notes Statist.
, vol.28
-
-
Amari, S.-I.1
-
65
-
-
0034202724
-
Nonholonomic orthogonal learning algorithms for blind source separation
-
Amari, S., Chen, T. P. and Chichocki, A. (2000) Nonholonomic orthogonal learning algorithms for blind source separation. Neur. Computn, 12, 1463-1484.
-
(2000)
Neur. Computn
, vol.12
, pp. 1463-1484
-
-
Amari, S.1
Chen, T.P.2
Chichocki, A.3
-
66
-
-
0003530945
-
Methods of Information Geometry
-
(2000) Oxford: Oxford University Press.
-
Amari, S. and Nagaoka, H. (2000) Methods of Information Geometry. Oxford: Oxford University Press.
-
-
-
Amari, S.1
Nagaoka, H.2
-
67
-
-
79952307872
-
On the space of probability distributions
-
Submitted to
-
Anaya-Izquierdo, K., Critchley, F., Marriott, P. and Vos, P. (2010) On the space of probability distributions. Submitted to Ann. Inst. Statist. Math.
-
(2010)
Ann. Inst. Statist. Math
-
-
Anaya-Izquierdo, K.1
Critchley, F.2
Marriott, P.3
Vos, P.4
-
68
-
-
47249119570
-
Local mixture models of exponential families
-
Anaya-Izquierdo, K. A. and Marriott, P. (2007) Local mixture models of exponential families. Bernoulli, 13, 623-640.
-
(2007)
Bernoulli
, vol.13
, pp. 623-640
-
-
Anaya-Izquierdo, K.A.1
Marriott, P.2
-
69
-
-
77953523599
-
Particle Markov chain Monte Carlo methods (with discussion)
-
Andrieu, C., Doucet, A. and Holenstein, R. (2010) Particle Markov chain Monte Carlo methods (with discussion). J. R. Statist. Soc. B, 72, 269-342.
-
(2010)
J. R. Statist. Soc. B
, vol.72
, pp. 269-342
-
-
Andrieu, C.1
Doucet, A.2
Holenstein, R.3
-
70
-
-
33750512542
-
On the ergodicity properties of some adaptive MCMC algorithms
-
Andrieu, C. and Moulines, E. (2006) On the ergodicity properties of some adaptive MCMC algorithms. Ann. Appl. Probab., 16, 1462-1505.
-
(2006)
Ann. Appl. Probab.
, vol.16
, pp. 1462-1505
-
-
Andrieu, C.1
Moulines, E.2
-
71
-
-
57849088168
-
A tutorial on adaptive MCMC
-
Andrieu, C. and Thoms, J. (2008) A tutorial on adaptive MCMC. Statist. Comput., 18, 343-373.
-
(2008)
Statist. Comput.
, vol.18
, pp. 343-373
-
-
Andrieu, C.1
Thoms, J.2
-
72
-
-
0348207641
-
Zero-variance zero-bias principle for observables in quantum monte carlo: application to forces
-
Assaraf, R. and Caffarel, M. (2003) Zero-variance zero-bias principle for observables in quantum monte carlo: application to forces. J. Chem. Phys., 119, 10536-10552.
-
(2003)
J. Chem. Phys.
, vol.119
, pp. 10536-10552
-
-
Assaraf, R.1
Caffarel, M.2
-
73
-
-
33747075845
-
An adaptive version for the Metropolis adjusted Langevin algorithm with a truncated drift
-
Atchadé, Y. F. (2006) An adaptive version for the Metropolis adjusted Langevin algorithm with a truncated drift. Methodol. Comput. Appl. Probab., 8, 235-254.
-
(2006)
Methodol. Comput. Appl. Probab.
, vol.8
, pp. 235-254
-
-
Atchadé, Y.F.1
-
74
-
-
84874057254
-
Adaptive Markov chain Monte Carlo: theory and methods
-
Atchadé, Y., Fort, G., Moulines, E. and Priouret, P. (2009) Adaptive Markov chain Monte Carlo: theory and methods. Technical Report.
-
(2009)
Technical Report
-
-
Atchadé, Y.1
Fort, G.2
Moulines, E.3
Priouret, P.4
-
75
-
-
84898964031
-
Advances in Neural Information Processing Systems
-
(eds S. A. Solla, T. K. Leen and K.-R. Müller) - Cambridge: MIT Press.
-
Attias, H. (1999) A variational Bayesian framework for graphical models. In Advances in Neural Information Processing Systems (eds S. A. Solla, T. K. Leen and K.-R. Müller), pp. 209-215. Cambridge: MIT Press.
-
(1999)
A variational Bayesian framework for graphical models
, pp. 209-215
-
-
Attias, H.1
-
76
-
-
48449087175
-
Discussion on 'Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes' (by A. Beskos, O. Papaspiliopoulos, G. O. Roberts and P. Fearnhead)
-
Ball, F., Dryden, I. and Golalizadeh, M. (2006) Discussion on 'Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes' (by A. Beskos, O. Papaspiliopoulos, G. O. Roberts and P. Fearnhead). J. R. Statist. Soc. B, 68, 367-368.
-
(2006)
J. R. Statist. Soc. B
, vol.68
, pp. 367-368
-
-
Ball, F.1
Dryden, I.2
Golalizadeh, M.3
-
77
-
-
48449105350
-
Brownian motion and Ornstein-Uhlenbeck processes in planar shape space
-
Ball, F. G., Dryden, I. L. and Golalizadeh, M. (2008) Brownian motion and Ornstein-Uhlenbeck processes in planar shape space. Methodol. Comput. Appl. Probab., 10, 1-22.
-
(2008)
Methodol. Comput. Appl. Probab.
, vol.10
, pp. 1-22
-
-
Ball, F.G.1
Dryden, I.L.2
Golalizadeh, M.3
-
78
-
-
0002303010
-
The role of differential geometry in statistical theory
-
Barndorff-Nielsen, O. E., Cox, D. R. and Reid, N. (1986) The role of differential geometry in statistical theory. Int. Statist. Rev., 54, 83-96.
-
(1986)
Int. Statist. Rev.
, vol.54
, pp. 83-96
-
-
Barndorff-Nielsen, O.E.1
Cox, D.R.2
Reid, N.3
-
80
-
-
33747340694
-
Statistics, yokes and symplectic geometry
-
Barndorff-Nielsen, O. E. and Jupp, P. E. (1997b) Statistics, yokes and symplectic geometry. Ann. Fac. Sci. Toul., 6, 389-427.
-
(1997)
Ann. Fac. Sci. Toul.
, vol.6
, pp. 389-427
-
-
Barndorff-Nielsen, O.E.1
Jupp, P.E.2
-
81
-
-
0003111416
-
Calculation of intrinsic and parameter-effects curvatures for nonlinear regression models
-
Bates, D., Hamilton, D. and Watts, D. (1983) Calculation of intrinsic and parameter-effects curvatures for nonlinear regression models. Communs Statist. Simuln Computn, 12, 469-477.
-
(1983)
Communs Statist. Simuln Computn
, vol.12
, pp. 469-477
-
-
Bates, D.1
Hamilton, D.2
Watts, D.3
-
82
-
-
0002256849
-
Relative curvature measures of nonlinearity
-
Bates, D. and Watts, D. (1980) Relative curvature measures of nonlinearity. J. R. Statist. Soc. B, 42, 1-25.
-
(1980)
J. R. Statist. Soc. B
, vol.42
, pp. 1-25
-
-
Bates, D.1
Watts, D.2
-
83
-
-
0003456815
-
Nonlinear Regression Analysis and Its Applications
-
New York: Wiley.
-
Bates, D. and Watts, D. (1988) Nonlinear Regression Analysis and Its Applications. New York: Wiley.
-
(1988)
-
-
Bates, D.1
Watts, D.2
-
84
-
-
71249121103
-
Adaptive approximate Bayesian computation
-
Beaumont, M. A., Cornuet, J. M., Marin, J. M. and Robert, C. P. (2009) Adaptive approximate Bayesian computation. Biometrika, 96, 983-990.
-
(2009)
Biometrika
, vol.96
, pp. 983-990
-
-
Beaumont, M.A.1
Cornuet, J.M.2
Marin, J.M.3
Robert, C.P.4
-
85
-
-
0003713964
-
Nonlinear Programming
-
2nd edn. Belmont: Athena Scientific.
-
Bertsekas, D. (1999) Nonlinear Programming, 2nd edn. Belmont: Athena Scientific.
-
(1999)
-
-
Bertsekas, D.1
-
86
-
-
0141477361
-
Bayesian computation and stochastic systems
-
Besag, J., Green, P. J., Higdon, D. and Mengersen, K. (1995) Bayesian computation and stochastic systems. Statist. Sci., 10, 3-66.
-
(1995)
Statist. Sci.
, vol.10
, pp. 3-66
-
-
Besag, J.1
Green, P.J.2
Higdon, D.3
Mengersen, K.4
-
87
-
-
40249085367
-
A factorisation of diffusion measure and finite sample path constructions
-
Beskos, A., Papaspiliopoulos, O. and Roberts, G. O. (2008) A factorisation of diffusion measure and finite sample path constructions. Methodol. Comput. Appl. Probab., 10, 85-104.
-
(2008)
Methodol. Comput. Appl. Probab.
, vol.10
, pp. 85-104
-
-
Beskos, A.1
Papaspiliopoulos, O.2
Roberts, G.O.3
-
88
-
-
33646690994
-
Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion)
-
Beskos, A., Papaspiliopoulos, O., Roberts, G. O. and Fearnhead, P. (2006) Exact and computationally efficient likelihood-based estimation for discretely observed diffusion processes (with discussion). J. R. Statist. Soc. B, 68, 333-382.
-
(2006)
J. R. Statist. Soc. B
, vol.68
, pp. 333-382
-
-
Beskos, A.1
Papaspiliopoulos, O.2
Roberts, G.O.3
Fearnhead, P.4
-
89
-
-
0003610530
-
Technical Report
-
Department of Statistical Science, University College London, London. (Available from)
-
Beskos, A., Pillai, N., Roberts, G. O., Sanz-Serna, J. M. and Stuart, A. M. (2010a) Optimal tuning of the Hybrid Monte-Carlos algorithm. Technical Report. Department of Statistical Science, University College London, London. (Available from)
-
(2010)
Optimal tuning of the Hybrid Monte-Carlos algorithm
-
-
Beskos, A.1
Pillai, N.2
Roberts, G.O.3
Sanz-Serna, J.M.4
Stuart, A.M.5
-
90
-
-
79952283720
-
Hybrid Monte-Carlo on hilbert spaces
-
Beskos, A., Pinski, F., Sanz-Serna, J. M. and Stuart, A. M. (2010b) Hybrid Monte-Carlo on hilbert spaces. Technical Report.
-
(2010)
Technical Report
-
-
Beskos, A.1
Pinski, F.2
Sanz-Serna, J.M.3
Stuart, A.M.4
-
91
-
-
56549084523
-
MCMC methods for diffusion bridges
-
Beskos, H., Roberts, G., Stuart, A. and Voss, J. (2008) MCMC methods for diffusion bridges. Stochast. Dyn., 8, 319-350.
-
(2008)
Stochast. Dyn.
, vol.8
, pp. 319-350
-
-
Beskos, H.1
Roberts, G.2
Stuart, A.3
Voss, J.4
-
92
-
-
79952287918
-
Discussion on 'Particle Markov chain Monte Carlo methods' (by C. Andrieu, A. Doucet and R. Holenstein)
-
Bhadra, A. (2010) Discussion on 'Particle Markov chain Monte Carlo methods' (by C. Andrieu, A. Doucet and R. Holenstein). J. R. Statist. Soc. B, 72, 314-315.
-
(2010)
J. R. Statist. Soc. B
, vol.72
, pp. 314-315
-
-
Bhadra, A.1
-
93
-
-
73949147171
-
Time series analysis via mechanistic models
-
Bretó, C., He, D., Ionides, E. L. and King, A. A. (2009) Time series analysis via mechanistic models. Ann. Appl. Statist., 3, 319-348.
-
(2009)
Ann. Appl. Statist.
, vol.3
, pp. 319-348
-
-
Bretó, C.1
He, D.2
Ionides, E.L.3
King, A.A.4
-
94
-
-
0033484699
-
Thermalization of quantum states
-
Brody, D. C. and Hughston, L. P. (1999) Thermalization of quantum states. J. Math. Phys., 40, 12-18.
-
(1999)
J. Math. Phys.
, vol.40
, pp. 12-18
-
-
Brody, D.C.1
Hughston, L.P.2
-
95
-
-
79952293516
-
Signal transduction, sloppy models, and statistical mechanics
-
PhD Thesis Cornell University, Ithaca.
-
Brown, K. S. (2003) Signal transduction, sloppy models, and statistical mechanics. PhD Thesis Cornell University, Ithaca.
-
(2003)
-
-
Brown, K.S.1
-
96
-
-
33748557777
-
The statistical mechanics of complex signaling networks: nerve growth factor signaling
-
Brown, K., Hill, C., Calero, G., Myers, C., Lee, K., Sethna, J. and Cerione, R. (2004) The statistical mechanics of complex signaling networks: nerve growth factor signaling. Phys. Biol., 1, 184-195.
-
(2004)
Phys. Biol.
, vol.1
, pp. 184-195
-
-
Brown, K.1
Hill, C.2
Calero, G.3
Myers, C.4
Lee, K.5
Sethna, J.6
Cerione, R.7
-
97
-
-
42749109054
-
Statistical mechanical approaches to models with many poorly known parameters
-
Brown, K. and Sethna, J. (2003) Statistical mechanical approaches to models with many poorly known parameters. Phys. Rev. E, 68, 21904.
-
(2003)
Phys. Rev. E
, vol.68
, pp. 21904
-
-
Brown, K.1
Sethna, J.2
-
98
-
-
0001445688
-
Entropy differential metric, distance and divergence measures in probability spaces
-
Burbea, J. and Rao, C. R. (1982) Entropy differential metric, distance and divergence measures in probability spaces. J. Multiv. Anal., 12, 575-596.
-
(1982)
J. Multiv. Anal.
, vol.12
, pp. 575-596
-
-
Burbea, J.1
Rao, C.R.2
-
99
-
-
0011624568
-
Differential metrics in probability spaces
-
Burbea, J. and Rao, C. R. (1984) Differential metrics in probability spaces. Probab. Math. Statist., 3, 241-258.
-
(1984)
Probab. Math. Statist.
, vol.3
, pp. 241-258
-
-
Burbea, J.1
Rao, C.R.2
-
100
-
-
69449098014
-
Estimating Bayes factors via thermodynamic integration and population MCMC
-
Calderhead, B. and Girolami, M. (2009) Estimating Bayes factors via thermodynamic integration and population MCMC. Computnl Statist. Data Anal., 53, 4028-4045.
-
(2009)
Computnl Statist. Data Anal.
, vol.53
, pp. 4028-4045
-
-
Calderhead, B.1
Girolami, M.2
-
102
-
-
75149191785
-
Tailored randomized block MCMC methods with application to DSGE models
-
Chib, S. and Ramamurthy, S. (2010) Tailored randomized block MCMC methods with application to DSGE models. J. Econmetr., 155, 19-38.
-
(2010)
J. Econmetr.
, vol.155
, pp. 19-38
-
-
Chib, S.1
Ramamurthy, S.2
-
103
-
-
79952283864
-
-
Learning hyperparameters for neural network models using Hamiltonian dynamics. Masters Thesis Department of Computer Science, University of Toronto, Toronto. (Available from)
-
Choo, K. (2000) Learning hyperparameters for neural network models using Hamiltonian dynamics. Masters Thesis Department of Computer Science, University of Toronto, Toronto. (Available from)
-
(2000)
-
-
Choo, K.1
-
104
-
-
0012338718
-
A sequential particle filter for static models
-
Chopin, N. (2002) A sequential particle filter for static models. Biometrika, 89, 539-552.
-
(2002)
Biometrika
, vol.89
, pp. 539-552
-
-
Chopin, N.1
-
105
-
-
79952289742
-
Bayesian Statistics 8
-
In (eds S. Bayarri, J. O. Berger, J. M. Bernardo, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West). Oxford: Oxford University Press.
-
Chopin, N. (2007) Discussion of Del Moral et al. In Bayesian Statistics 8(eds S. Bayarri, J. O. Berger, J. M. Bernardo, A. P. Dawid, D. Heckerman, A. F. M. Smith and M. West). Oxford: Oxford University Press.
-
(2007)
Discussion of Del Moral et al
-
-
Chopin, N.1
-
106
-
-
16244387937
-
Scaling limits for the transient phase of local Metropolis-Hastings algorithms
-
Christensen, O. F., Roberts, G. O. and Rosenthal, J. S. (2005) Scaling limits for the transient phase of local Metropolis-Hastings algorithms. J. R. Statist. Soc. B, 67, 253-268.
-
(2005)
J. R. Statist. Soc. B
, vol.67
, pp. 253-268
-
-
Christensen, O.F.1
Roberts, G.O.2
Rosenthal, J.S.3
-
107
-
-
33645558077
-
Robust Markov chain Monte Carlo methods for spatial generalized linear mixed models
-
Christensen, O. F., Roberts, G. O. and Sköld, M. (2006) Robust Markov chain Monte Carlo methods for spatial generalized linear mixed models. J. Computnl Graph. Statist., 15, 1-17.
-
(2006)
J. Computnl Graph. Statist.
, vol.15
, pp. 1-17
-
-
Christensen, O.F.1
Roberts, G.O.2
Sköld, M.3
-
108
-
-
25144445267
-
Local model uncertainty and incomplete data bias (with discussion)
-
Copas, J. and Eguchi, S. (2005) Local model uncertainty and incomplete data bias (with discussion). J. R. Statist. Soc. B, 67, 459-512.
-
(2005)
J. R. Statist. Soc. B
, vol.67
, pp. 459-512
-
-
Copas, J.1
Eguchi, S.2
-
109
-
-
77949534898
-
Likelihood for statistically equivalent models
-
Copas, J. and Eguchi, S. (2010) Likelihood for statistically equivalent models. J. R. Statist. Soc. B, 72, 193-217.
-
(2010)
J. R. Statist. Soc. B
, vol.72
, pp. 193-217
-
-
Copas, J.1
Eguchi, S.2
-
110
-
-
79952283990
-
Adaptive multiple importance sampling
-
(Available from)
-
Cornuet, J. M., Marin, J. M., Mira, A. and Robert, C. P. (2009) Adaptive multiple importance sampling. Preprint. (Available from)
-
(2009)
Preprint
-
-
Cornuet, J.M.1
Marin, J.M.2
Mira, A.3
Robert, C.P.4
-
111
-
-
21344483516
-
Preferred point geometry and statistical manifolds
-
Critchley, F., Marriott, P. K. and Salmon, M. (1993) Preferred point geometry and statistical manifolds. Ann. Statist., 21, 1197-1224.
-
(1993)
Ann. Statist.
, vol.21
, pp. 1197-1224
-
-
Critchley, F.1
Marriott, P.K.2
Salmon, M.3
-
112
-
-
49549094042
-
Sloppiness, robustness, and evolvability in systems biology
-
Daniels, B., Chen, Y., Sethna, J., Gutenkunst, R. and Myers, C. (2008) Sloppiness, robustness, and evolvability in systems biology. Curr. Opin. Biotechnol., 19, 389-395.
-
(2008)
Curr. Opin. Biotechnol.
, vol.19
, pp. 389-395
-
-
Daniels, B.1
Chen, Y.2
Sethna, J.3
Gutenkunst, R.4
Myers, C.5
-
113
-
-
70350568207
-
Efficient Monte Carlo computation of Fisher information matrix using prior information
-
Das, S., Spall, J. and Ghanem, R. (2010) Efficient Monte Carlo computation of Fisher information matrix using prior information. Computnl Statist. Data Anal., 54, 272-289.
-
(2010)
Computnl Statist. Data Anal.
, vol.54
, pp. 272-289
-
-
Das, S.1
Spall, J.2
Ghanem, R.3
-
114
-
-
0000399239
-
Discussion on 'Defining the curvature of a statistical problem (with applications to second-order efficiency)' (by B. Efron)
-
Dawid, A. P. (1975) Discussion on 'Defining the curvature of a statistical problem (with applications to second-order efficiency)' (by B. Efron). Ann. Statist., 3, 1231-1234.
-
(1975)
Ann. Statist.
, vol.3
, pp. 1231-1234
-
-
Dawid, A.P.1
-
116
-
-
33646684004
-
Sequential Monte Carlo samplers
-
Del Moral, P., Doucet, A. and Jasra, A. (2006) Sequential Monte Carlo samplers. J. R. Statist. Soc. B, 68, 411-436.
-
(2006)
J. R. Statist. Soc. B
, vol.68
, pp. 411-436
-
-
Del moral, P.1
Doucet, A.2
Jasra, A.3
-
117
-
-
0034346693
-
Analysis of a nonreversible Markov chain sampler
-
Diaconis, P., Holmes, S. and Neal, R. (2000) Analysis of a nonreversible Markov chain sampler. Ann. Appl. Probab., 10, 726-752.
-
(2000)
Ann. Appl. Probab.
, vol.10
, pp. 726-752
-
-
Diaconis, P.1
Holmes, S.2
Neal, R.3
-
118
-
-
79952304909
-
-
MCMC acceleration: methods and results. Technical Report. Department of Applied Mathematics and Statistics, University of California, Santa Cruz.
-
Draper, D. and Liu, S. (2006) MCMC acceleration: methods and results. Technical Report. Department of Applied Mathematics and Statistics, University of California, Santa Cruz.
-
(2006)
-
-
Draper, D.1
Liu, S.2
-
120
-
-
0003828513
-
Time Series Analysis by State Space Methods
-
Oxford: Oxford University Press.
-
Durbin, J. and Koopman, S. (2001) Time Series Analysis by State Space Methods. Oxford: Oxford University Press.
-
(2001)
-
-
Durbin, J.1
Koopman, S.2
-
121
-
-
77955152465
-
Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: a graphical guide book
-
to be published.
-
van Dyk, D. A. and Meng, X.-L. (2010) Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: a graphical guide book. Statist. Sci., to be published.
-
(2010)
Statist. Sci.
-
-
van Dyk, D.A.1
Meng, X.-L.2
-
122
-
-
0032216898
-
The geometry of algorithms with orthogonality constraints
-
Edelman, A., Arias, T. and Smith, S. (1999) The geometry of algorithms with orthogonality constraints. SIAM J. Matrix Anal. Applic., 20, 303-353.
-
(1999)
SIAM J. Matrix Anal. Applic.
, vol.20
, pp. 303-353
-
-
Edelman, A.1
Arias, T.2
Smith, S.3
-
123
-
-
0000551847
-
Defining the curvature of a statistical problem (with applications to second-order efficiency)
-
Efron, B. (1975) Defining the curvature of a statistical problem (with applications to second-order efficiency). Ann. Statist., 3, 1189-1242.
-
(1975)
Ann. Statist.
, vol.3
, pp. 1189-1242
-
-
Efron, B.1
-
124
-
-
0000852027
-
Second order efficiency of minimum contrast estimators in a curved exponential family
-
Eguchi, S. (1983) Second order efficiency of minimum contrast estimators in a curved exponential family. Ann. Statist., 11, 793-803.
-
(1983)
Ann. Statist.
, vol.11
, pp. 793-803
-
-
Eguchi, S.1
-
125
-
-
53349102813
-
Impulses and physiological states in theoretical models of nerve membrane
-
Fitzhugh, R. (1961) Impulses and physiological states in theoretical models of nerve membrane. Biophys. J., 1, 445-466.
-
(1961)
Biophys. J.
, vol.1
, pp. 445-466
-
-
Fitzhugh, R.1
-
126
-
-
0003768769
-
Practical Methods of Optimization
-
2nd edn. New York: Wiley.
-
Fletcher, R. (1987) Practical Methods of Optimization2nd edn. New York: Wiley.
-
(1987)
-
-
Fletcher, R.1
-
127
-
-
18644380792
-
Fourth-order algorithms for solving the multi-variable Langevin equation and the Kramers equation
-
Forbert, H. A. and Chin, S. A. (2000) Fourth-order algorithms for solving the multi-variable Langevin equation and the Kramers equation. Phys. Rev. E, 63, 016703.
-
(2000)
Phys. Rev. E
, vol.63
, pp. 016703
-
-
Forbert, H.A.1
Chin, S.A.2
-
128
-
-
49449108749
-
Struggles with survey weighting and regression modeling (with discussion)
-
Gelman, A. (2007) Struggles with survey weighting and regression modeling (with discussion). Statist. Sci., 22, 153-188.
-
(2007)
Statist. Sci.
, vol.22
, pp. 153-188
-
-
Gelman, A.1
-
130
-
-
0000736067
-
Computing normalizing constants: from importance sampling to bridge sampling to path sampling
-
Gelman, A. E. and Meng, X.-L. (1998) Computing normalizing constants: from importance sampling to bridge sampling to path sampling. Statist. Sci., 13, 163-185.
-
(1998)
Statist. Sci.
, vol.13
, pp. 163-185
-
-
Gelman, A.E.1
Meng, X.-L.2
-
131
-
-
84884028391
-
Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do
-
2nd edn. Princeton: Princeton University Press.
-
Gelman, A., Park, D., Shor, B. and Cortina, J. (2009) Red State, Blue State, Rich State, Poor State: Why Americans Vote the Way They Do2nd edn. Princeton: Princeton University Press.
-
(2009)
-
-
Gelman, A.1
Park, D.2
Shor, B.3
Cortina, J.4
-
132
-
-
0002795650
-
Computing Science and Statistics: Proc. 23rd Symp. Interface
-
Geyer, C. J. (1991) Markov chain Monte Carlo maximum likelihood. In Computing Science and Statistics: Proc. 23rd Symp. Interface, pp. 156-163.
-
(1991)
Markov chain Monte Carlo maximum likelihood
, pp. 156-163
-
-
Geyer, C.J.1
-
133
-
-
0031780720
-
Estimating parameters in stochastic compartmental models using Markov Chain methods
-
Gibson, G. and Renshaw, E. (1998) Estimating parameters in stochastic compartmental models using Markov Chain methods. IMA J. Math. Appl. Med. Biol., 15, 19-40.
-
(1998)
IMA J. Math. Appl. Med. Biol.
, vol.15
, pp. 19-40
-
-
Gibson, G.1
Renshaw, E.2
-
134
-
-
77956676472
-
Adaptive independent Metropolis-Hastings by fast estimation of mixtures of normals
-
Giordani, P. and Kohn, R. (2010) Adaptive independent Metropolis-Hastings by fast estimation of mixtures of normals. J. Computnl Graph. Statist., 19, 243-259.
-
(2010)
J. Computnl Graph. Statist.
, vol.19
, pp. 243-259
-
-
Giordani, P.1
Kohn, R.2
-
135
-
-
77956889087
-
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
-
Green, P. (1995) Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika, 82, 711-732.
-
(1995)
Biometrika
, vol.82
, pp. 711-732
-
-
Green, P.1
-
137
-
-
0000281374
-
Representations of knowledge in complex systems (with discussion)
-
Grenander, U. and Miller, M. I. (1994) Representations of knowledge in complex systems (with discussion). J. R. Statist. Soc. B, 56, 549-603.
-
(1994)
J. R. Statist. Soc. B
, vol.56
, pp. 549-603
-
-
Grenander, U.1
Miller, M.I.2
-
138
-
-
0032140973
-
Hilbert-Schmidt lower bounds for estimators on matrix Lie groups for ATR
-
Grenander, U., Miller, M. I. and Srivastava, A. (1998) Hilbert-Schmidt lower bounds for estimators on matrix Lie groups for ATR. IEEE Trans. Pattn Anal. Mach. Intell., 20, 790-802.
-
(1998)
IEEE Trans. Pattn Anal. Mach. Intell.
, vol.20
, pp. 790-802
-
-
Grenander, U.1
Miller, M.I.2
Srivastava, A.3
-
139
-
-
79952293379
-
Bayesian calibration of the thermosphere-ionosphere electrodynamics general circulation model (TIE-GCM)
-
Guillas, S., Rougier, J., Maute, A., Richmond, A. D. and Linkletter, C. D. (2009) Bayesian calibration of the thermosphere-ionosphere electrodynamics general circulation model (TIE-GCM). Geosci. Model Dev., 2, 137-144.
-
(2009)
Geosci. Model Dev.
, vol.2
, pp. 137-144
-
-
Guillas, S.1
Rougier, J.2
Maute, A.3
Richmond, A.D.4
Linkletter, C.D.5
-
140
-
-
79952299953
-
-
Sloppiness, modeling, and evolution in biochemical networks. PhD Thesis Cornell University, Ithaca.
-
Gutenkunst, R. (2008) Sloppiness, modeling, and evolution in biochemical networks. PhD Thesis Cornell University, Ithaca.
-
(2008)
-
-
Gutenkunst, R.1
-
141
-
-
35748977901
-
Universally sloppy parameter sensitivities in systems biology models
-
Gutenkunst, R., Waterfall, J., Casey, F., Brown, K., Myers, C. and Sethna, J. (2007) Universally sloppy parameter sensitivities in systems biology models. PLOS Comput. Biol., 3, no 10, e189.
-
(2007)
PLOS Comput. Biol.
, vol.3
, Issue.10
-
-
Gutenkunst, R.1
Waterfall, J.2
Casey, F.3
Brown, K.4
Myers, C.5
Sethna, J.6
-
142
-
-
33750082644
-
DRAM: efficient adaptive MCMC
-
Haario, H., Laine, M., Mira, A. and Saksman, E. (2006) DRAM: efficient adaptive MCMC. Statist. Comput., 16, 339-354.
-
(2006)
Statist. Comput.
, vol.16
, pp. 339-354
-
-
Haario, H.1
Laine, M.2
Mira, A.3
Saksman, E.4
-
143
-
-
0033436531
-
Adaptive proposal distribution for random walk Metropolis algorithm
-
Haario, H., Saksman, E. and Tamminen, J. (1999) Adaptive proposal distribution for random walk Metropolis algorithm. Computnl Statist., 14, 375-395.
-
(1999)
Computnl Statist.
, vol.14
, pp. 375-395
-
-
Haario, H.1
Saksman, E.2
Tamminen, J.3
-
144
-
-
0038563932
-
An adaptive Metropolis algorithm
-
Haario, H., Saksman, E. and Tamminen, J. (2001) An adaptive Metropolis algorithm Bernoulli, 7, 223-242.
-
(2001)
Bernoulli
, vol.7
, pp. 223-242
-
-
Haario, H.1
Saksman, E.2
Tamminen, J.3
-
145
-
-
74049096785
-
Plug-and-play inference for disease dynamics: measles in large and small towns as a case study
-
He, D., Ionides, E. L. and King, A. A. (2010) Plug-and-play inference for disease dynamics: measles in large and small towns as a case study. J. R. Soc. Interface, 7, 271-283.
-
(2010)
J. R. Soc. Interface
, vol.7
, pp. 271-283
-
-
He, D.1
Ionides, E.L.2
King, A.A.3
-
146
-
-
79952303257
-
The Oxford Handbook of Applied Bayesian Analysis
-
(eds A. O' Hagan and M. West) - Oxford: Oxford University Press.
-
Henderson, D. A., Boys, R. J., Proctor, C. J. and Wilkinson, D. J. (2010) Linking systems biology models to data: a stochastic kinetic model of p53 oscillations. In The Oxford Handbook of Applied Bayesian Analysis (eds A. O' Hagan and M. West), pp. 155-187. Oxford: Oxford University Press.
-
(2010)
Linking systems biology models to data: a stochastic kinetic model of p53 oscillations
, pp. 155-187
-
-
Henderson, D.A.1
Boys, R.J.2
Proctor, C.J.3
Wilkinson, D.J.4
-
147
-
-
0000135303
-
Methods of conjugate gradients for solving linear systems
-
Hestenes, M. R. and Stiefel, E. (1952) Methods of conjugate gradients for solving linear systems. J. Res. Natn Bur. Stand., 49, 409-436.
-
(1952)
J. Res. Natn Bur. Stand.
, vol.49
, pp. 409-436
-
-
Hestenes, M.R.1
Stiefel, E.2
-
148
-
-
84867151416
-
Bayesian auxiliary variable models for binary and multinomial regression
-
Holmes, C. C. and Held, L. (2005) Bayesian auxiliary variable models for binary and multinomial regression. Baysn Anal., 1, 145-168.
-
(2005)
Baysn Anal.
, vol.1
, pp. 145-168
-
-
Holmes, C.C.1
Held, L.2
-
149
-
-
79551487646
-
Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes
-
Honkela, A., Raiko, T., Kuusela, M., Tornio, M. and Karhunen, J. (2010) Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes. J. Mach. Learn. Res., 11, 3235-3268.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 3235-3268
-
-
Honkela, A.1
Raiko, T.2
Kuusela, M.3
Tornio, M.4
Karhunen, J.5
-
150
-
-
0009349032
-
A generalized guided monte carlo algorithm
-
Horowitz, A. M. (1991) A generalized guided monte carlo algorithm. Phys. Lett. B, 268, 247-252.
-
(1991)
Phys. Lett. B
, vol.268
, pp. 247-252
-
-
Horowitz, A.M.1
-
151
-
-
33746741787
-
Geometry of stochastic state vector reduction
-
Hughston, L. P. (1996) Geometry of stochastic state vector reduction. Proc. R. Soc. Lond., 452, 953-979.
-
(1996)
Proc. R. Soc. Lond.
, vol.452
, pp. 953-979
-
-
Hughston, L.P.1
-
152
-
-
0034320394
-
The Bayesian evidence scheme for regularising probability-density estimating neural networks
-
Husmeier, D. (2000) The Bayesian evidence scheme for regularising probability-density estimating neural networks. Neur. Computn, 12, 2685-2717.
-
(2000)
Neur. Computn
, vol.12
, pp. 2685-2717
-
-
Husmeier, D.1
-
153
-
-
9644300955
-
A bayesian analysis of the multinomial probit model using marginal data augmentation
-
Imai, K. and van Dyk, D. A. (2005) A bayesian analysis of the multinomial probit model using marginal data augmentation. J. Econmetr., 124, 311-334.
-
(2005)
J. Econmetr.
, vol.124
, pp. 311-334
-
-
Imai, K.1
van Dyk, D.A.2
-
154
-
-
33845508786
-
Inference for nonlinear dynamical systems
-
Ionides, E. L., Bretó, C. and King, A. A. (2006) Inference for nonlinear dynamical systems. Proc. Natn. Acad. Sci. USA, 103, 18438-18443.
-
(2006)
Proc. Natn. Acad. Sci. USA
, vol.103
, pp. 18438-18443
-
-
Ionides, E.L.1
Bretó, C.2
King, A.A.3
-
155
-
-
0003414592
-
Theory of Probability
-
New York: Oxford University Press.
-
Jeffreys, H. (1998) Theory of Probability. New York: Oxford University Press.
-
(1998)
-
-
Jeffreys, H.1
-
156
-
-
77953081318
-
A van Trees inequality for estimators on manifolds
-
Jupp, P. E. (2010) A van Trees inequality for estimators on manifolds. J. Multiv. Anal., 101, 1814-1825.
-
(2010)
J. Multiv. Anal.
, vol.101
, pp. 1814-1825
-
-
Jupp, P.E.1
-
157
-
-
0003596421
-
Geometrical Foundations of Asymptotic Inference
-
New York: Wiley.
-
Kass, R. E. and Vos, P. W. (1997) Geometrical Foundations of Asymptotic Inference. New York: Wiley.
-
(1997)
-
-
Kass, R.E.1
Vos, P.W.2
-
158
-
-
0035648165
-
Bayesian calibration of computer models (with discussion)
-
Kennedy, M. C. and O' Hagan, A. (2001) Bayesian calibration of computer models (with discussion). J. R. Statist. Soc. B, 63, 425-464.
-
(2001)
J. R. Statist. Soc. B
, vol.63
, pp. 425-464
-
-
Kennedy, M.C.1
O' Hagan, A.2
-
159
-
-
78751501372
-
Proc. 51st A. Symp. Foundations of Computer Science
-
In Silver Spring: Institute of Electrical and Electronics Engineers Computer Society Press.
-
Koutis, I., Miller, G. L. and Peng, R. (2010) Approaching optimality for solving SDD linear systems. In Proc. 51st A. Symp. Foundations of Computer Science. Silver Spring: Institute of Electrical and Electronics Engineers Computer Society Press.
-
(2010)
Approaching optimality for solving SDD linear systems
-
-
Koutis, I.1
Miller, G.L.2
Peng, R.3
-
160
-
-
79952303792
-
-
Efficient Bayesian inference for partially observed stochastic epidemics and a new class of semiparametric time series models. PhD Thesis Department of Mathematics and Statistics, Lancaster University, Lancaster. (Available from)
-
Kypraios, T. (2007) Efficient Bayesian inference for partially observed stochastic epidemics and a new class of semiparametric time series models. PhD Thesis Department of Mathematics and Statistics, Lancaster University, Lancaster. (Available from)
-
(2007)
-
-
Kypraios, T.1
-
161
-
-
78049480117
-
Forcing versus feedback: epidemic malaria and monsoon rains in NW India
-
Laneri, K., Bhadra, A., Ionides, E. L., Bouma, M., Dhiman, R. C., Yadav, R. S. and Pascual, M. (2010) Forcing versus feedback: epidemic malaria and monsoon rains in NW India. PLOS Computnl Biol., 6, e1000898.
-
(2010)
PLOS Computnl Biol.
, vol.6
-
-
Laneri, K.1
Bhadra, A.2
Ionides, E.L.3
Bouma, M.4
Dhiman, R.C.5
Yadav, R.S.6
Pascual, M.7
-
162
-
-
45149117115
-
Long-time convergence of an Adaptive Biasing Force method
-
Lelievre, T., Otto, F., Rousset, M. and Stoltz, G. (2008) Long-time convergence of an Adaptive Biasing Force method. Nonlinearity, 21, 1155-1181.
-
(2008)
Nonlinearity
, vol.21
, pp. 1155-1181
-
-
Lelievre, T.1
Otto, F.2
Rousset, M.3
Stoltz, G.4
-
163
-
-
66249092400
-
Non-finite Fisher information and homogeneity: an EM approach
-
Li, P., Chen, J. and Marriott, P. (2009) Non-finite Fisher information and homogeneity: an EM approach. Biometrika, 411-426.
-
(2009)
Biometrika
, pp. 411-426
-
-
Li, P.1
Chen, J.2
Marriott, P.3
-
164
-
-
85057864524
-
Technical Report 5
-
Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim.
-
Lindgren, F., Lindström, J. and Rue, H. (2010) An explicit link between Gaussian fields and Gaussian Markov random fields: the SPDE approach. Technical Report 5. Department of Mathematical Sciences, Norwegian University of Science and Technology, Trondheim.
-
(2010)
An explicit link between Gaussian fields and Gaussian Markov random fields: the SPDE approach
-
-
Lindgren, F.1
Lindström, J.2
Rue, H.3
-
165
-
-
79952285915
-
Masters Project
-
Department of Computer Science, University of California, Santa Cruz.
-
Liu, S. (2003) Mirror-jump sampling: a strategy for MCMC acceleration. Masters Project. Department of Computer Science, University of California, Santa Cruz.
-
(2003)
Mirror-jump sampling: a strategy for MCMC acceleration
-
-
Liu, S.1
-
166
-
-
30344435926
-
Fixed-domain asymptotics for a subclass of Matern-type Gaussian random fields
-
Loh, W. (2005) Fixed-domain asymptotics for a subclass of Matern-type Gaussian random fields. Ann. Statist., 33, 2344-2394.
-
(2005)
Ann. Statist.
, vol.33
, pp. 2344-2394
-
-
Loh, W.1
-
167
-
-
62049083002
-
Ricci curvature for metric-measure spaces via optimal transport
-
Lott, J. and Villani, C. (2009) Ricci curvature for metric-measure spaces via optimal transport. Ann. Math., 169, 903-991.
-
(2009)
Ann. Math.
, vol.169
, pp. 903-991
-
-
Lott, J.1
Villani, C.2
-
168
-
-
79952305678
-
-
Information geometry and Bayesian priors. Unpublished.
-
Machta, B. B., Transtrum, M. K., Chen, Y.-J. and Sethna, J. P. (2010) Information geometry and Bayesian priors. Unpublished.
-
(2010)
-
-
Machta, B.B.1
Transtrum, M.K.2
Chen, Y.-J.3
Sethna, J.P.4
-
169
-
-
46649101085
-
Bayesian Core: a Practical Approach to Computational Bayesian Statistics
-
New York: Springer.
-
Marin, J. M. and Robert, C. P. (2007) Bayesian Core: a Practical Approach to Computational Bayesian Statistics. New York: Springer.
-
(2007)
-
-
Marin, J.M.1
Robert, C.P.2
-
170
-
-
79952292497
-
Frontiers of Statistical Decision Making and Bayesian Analysis
-
(eds M.-H. Chen, D. Dey, P. Müller, D. Sun and K. Ye), ch. 14. New York: Springer.
-
Marin, J. and Robert, C. (2010) Importance sampling methods for Bayesian discrimination between embedded models. In Frontiers of Statistical Decision Making and Bayesian Analysis (eds M.-H. Chen, D. Dey, P. Müller, D. Sun and K. Ye), ch. 14. New York: Springer.
-
(2010)
Importance sampling methods for Bayesian discrimination between embedded models
-
-
Marin, J.1
Robert, C.2
-
171
-
-
0001434493
-
A bayesian analysis of the multinomial probit model with fully identified parameters
-
McCulloch, R. E., Polson, N. G. and Rossi, P. E. (2000) A bayesian analysis of the multinomial probit model with fully identified parameters. J. Econmetr., 99, 173-193.
-
(2000)
J. Econmetr.
, vol.99
, pp. 173-193
-
-
Mcculloch, R.E.1
Polson, N.G.2
Rossi, P.E.3
-
173
-
-
0030551974
-
Rates of convergence of the Hastings and Metropolis algorithms
-
Mengersen, K. L. and Tweedie, R. L. (1996) Rates of convergence of the Hastings and Metropolis algorithms. Ann. Statist., 24, 101-121.
-
(1996)
Ann. Statist.
, vol.24
, pp. 101-121
-
-
Mengersen, K.L.1
Tweedie, R.L.2
-
174
-
-
0038387331
-
A family of algorithms for approximate Bayesian inference
-
Massachusetts Institute of Technology, Cambridge.
-
Minka, T. (2001) A family of algorithms for approximate Bayesian inference. PhD Thesis. Massachusetts Institute of Technology, Cambridge.
-
(2001)
PhD Thesis
-
-
Minka, T.1
-
176
-
-
79952307200
-
Zero-variance Markov chain Monte Carlo for Bayesian estimators
-
University of Insubria, Insubria. (Available from)
-
Mira, A., Solgi, R. and Imparato, D. (2010) Zero-variance Markov chain Monte Carlo for Bayesian estimators. Technical Report. University of Insubria, Insubria. (Available from)
-
(2010)
Technical Report
-
-
Mira, A.1
Solgi, R.2
Imparato, D.3
-
177
-
-
33644782020
-
Wavelet-based functional mixed models
-
Morris, J. S. and Carroll, R. J. (2006) Wavelet-based functional mixed models. J. R. Statist. Soc. B, 68, 179-199.
-
(2006)
J. R. Statist. Soc. B
, vol.68
, pp. 179-199
-
-
Morris, J.S.1
Carroll, R.J.2
-
178
-
-
85162029646
-
Advances in Neural Information Processing Systems
-
(eds J. Lafferty, C. K. I. Williams, R. Zemel, J. Shawe-Taylor and A. Culotta) -
-
Murray, I. and Adams, R. P. (2010) Slice sampling covariance hyperparameters of latent Gaussian models. In Advances in Neural Information Processing Systems (eds J. Lafferty, C. K. I. Williams, R. Zemel, J. Shawe-Taylor and A. Culotta), pp. 1723-1731.
-
(2010)
Slice sampling covariance hyperparameters of latent Gaussian models
, pp. 1723-1731
-
-
Murray, I.1
Adams, R.P.2
-
179
-
-
0004087397
-
Probabilistic inference using Markov Chain Monte Carlo Methods
-
University of Toronto, Toronto. (Available from)
-
Neal, R. M. (1993) Probabilistic inference using Markov Chain Monte Carlo Methods. Technical Report. University of Toronto, Toronto. (Available from)
-
(1993)
Technical Report
-
-
Neal, R.M.1
-
180
-
-
0002628667
-
Regression and classification using Gaussian process priors (with discussion)
-
Neal, R. M. (1999) Regression and classification using Gaussian process priors (with discussion). Baysn Statist., 6, 475-501.
-
(1999)
Baysn Statist.
, vol.6
, pp. 475-501
-
-
Neal, R.M.1
-
181
-
-
0000273048
-
Annealed importance sampling
-
Neal, R. M. (2001) Annealed importance sampling. Statist. Comput., 11, 125-139.
-
(2001)
Statist. Comput.
, vol.11
, pp. 125-139
-
-
Neal, R.M.1
-
182
-
-
1642370803
-
Slice sampling
-
Neal, R. M. (2003) Slice sampling. Ann. Statist., 31, 705-767.
-
(2003)
Ann. Statist.
, vol.31
, pp. 705-767
-
-
Neal, R.M.1
-
183
-
-
79251576558
-
Handbook of Markov Chain Monte Carlo
-
(eds S. Brooks, A. Gelman, G. Jones and X.-L Meng). Boca Raton: Chapman and Hall-CRC Press.
-
Neal, R. M. (2010) MCMC using Hamiltonian dynamics. In Handbook of Markov Chain Monte Carlo (eds S. Brooks, A. Gelman, G. Jones and X.-L Meng). Boca Raton: Chapman and Hall-CRC Press.
-
(2010)
MCMC using Hamiltonian dynamics
-
-
Neal, R.M.1
-
184
-
-
26644434878
-
A case study in non-centering for data augmentation: stochasic epidemics
-
Neal, P. and Roberts, G. (2005) A case study in non-centering for data augmentation: stochasic epidemics. Statist. Comput., 15, 315-327.
-
(2005)
Statist. Comput.
, vol.15
, pp. 315-327
-
-
Neal, P.1
Roberts, G.2
-
185
-
-
70349653912
-
Proc. Vehicular Technology Conf.
-
In, New York: Institute of Electrical and Electronics Engineers.
-
Nevat, I., Peters, G. W. and Yuan, J. (2009) Channel estimation in OFDM systems with unknown power delay profile using trans-dimensional MCMC via stochastic approximation. In Proc. Vehicular Technology Conf., pp. 1-6. New York: Institute of Electrical and Electronics Engineers.
-
(2009)
Channel estimation in OFDM systems with unknown power delay profile using trans-dimensional MCMC via stochastic approximation
, pp. 1-6
-
-
Nevat, I.1
Peters, G.W.2
Yuan, J.3
-
186
-
-
0042725427
-
A hybrid markov chain for the bayesian analysis of the multinomial probit model
-
Nobile, A. (1998) A hybrid markov chain for the bayesian analysis of the multinomial probit model. Statist. Comput., 8, 229-242.
-
(1998)
Statist. Comput.
, vol.8
, pp. 229-242
-
-
Nobile, A.1
-
187
-
-
0141600855
-
Comment: Bayesian multinomial probit models with a normalization constraint
-
Nobile, A. (2000) Comment: Bayesian multinomial probit models with a normalization constraint. J. Econmetr., 99, 335-345.
-
(2000)
J. Econmetr.
, vol.99
, pp. 335-345
-
-
Nobile, A.1
-
188
-
-
79952304044
-
Long range search for maximum likelihood in exponential families
-
Okabayashi, S. and Geyer, C. J. (2010) Long range search for maximum likelihood in exponential families. Technical Report.
-
(2010)
Technical Report
-
-
Okabayashi, S.1
Geyer, C.J.2
-
190
-
-
0033473456
-
Bayesian inference for partially observed stochastic epidemics
-
O'Neill, P. D. and Roberts, G. O. (1999) Bayesian inference for partially observed stochastic epidemics. J. R. Statist. Soc. A, 162, 121-129.
-
(1999)
J. R. Statist. Soc. A
, vol.162
, pp. 121-129
-
-
O'Neill, P.D.1
Roberts, G.O.2
-
191
-
-
0034320350
-
Gaussian processes for classification: mean field algorithms
-
Opper, M. and Winther, O. (2000) Gaussian processes for classification: mean field algorithms. Neur. Computn, 12, 2655-2684.
-
(2000)
Neur. Computn
, vol.12
, pp. 2655-2684
-
-
Opper, M.1
Winther, O.2
-
192
-
-
34249101736
-
A general framework for the parametrization of hierarchical models
-
Papaspiliopoulos, O., Roberts, G. O. and Sköld, M. (2007) A general framework for the parametrization of hierarchical models. Statist. Sci., 22, 59-73.
-
(2007)
Statist. Sci.
, vol.22
, pp. 59-73
-
-
Papaspiliopoulos, O.1
Roberts, G.O.2
Sköld, M.3
-
193
-
-
41149127139
-
Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator
-
no. 2.
-
Pearlmutter, B. A. and Siskind, J. M. (2008) Reverse-mode AD in a functional framework: Lambda the ultimate backpropagator. ACM Trans. Program. Lang. Syst., 30, no. 2.
-
(2008)
ACM Trans. Program. Lang. Syst.
, vol.30
-
-
Pearlmutter, B.A.1
Siskind, J.M.2
-
194
-
-
79951577327
-
An empirical study of the efficiency of the EA for diffusion simulation
-
University of Warwick, Coventry.
-
Peluchetti, S. and Roberts, G. O. (2008) An empirical study of the efficiency of the EA for diffusion simulation. Technical Report. University of Warwick, Coventry.
-
(2008)
Technical Report.
-
-
Peluchetti, S.1
Roberts, G.O.2
-
195
-
-
79952288346
-
Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC)
-
Peters, G. W., Hosack, G. R. and Hayes, K. R. (2010) Ecological non-linear state space model selection via adaptive particle Markov chain Monte Carlo (AdPMCMC). Technical Report.
-
(2010)
Technical Report
-
-
Peters, G.W.1
Hosack, G.R.2
Hayes, K.R.3
-
196
-
-
79952286203
-
Particle approximations of the score and observed information matrix in state-space models with application to parameter estimation
-
to be published.
-
Poyiadjis, G., Doucet, A. and Singh, S. S. (2010) Particle approximations of the score and observed information matrix in state-space models with application to parameter estimation. Biometrika, to be published.
-
(2010)
Biometrika
-
-
Poyiadjis, G.1
Doucet, A.2
Singh, S.S.3
-
197
-
-
35648981518
-
Parameter estimation for differential equations: a generalized smoothing approach
-
(with discussion).
-
Ramsay, J., Hooker, H., Campbell, D. and Cao, J. (2007) Parameter estimation for differential equations: a generalized smoothing approach (with discussion). J. R. Statist. Soc. B, 69, 741-796.
-
(2007)
J. R. Statist. Soc. B
, vol.69
, pp. 741-796
-
-
Ramsay, J.1
Hooker, H.2
Campbell, D.3
Cao, J.4
-
198
-
-
25444448065
-
Gaussian Processes for Machine Learning
-
Cambridge: MIT Press.
-
Rasmussen, C. E. and Williams, C. (2006) Gaussian Processes for Machine Learning. Cambridge: MIT Press.
-
(2006)
-
-
Rasmussen, C.E.1
Williams, C.2
-
199
-
-
18244378520
-
On Bayesian analysis of mixtures with an unknown number of components (with discussion)
-
correction, 60 (1998), 661
-
Richardson, S. and Green, P. J. (1997) On Bayesian analysis of mixtures with an unknown number of components (with discussion). J. R. Statist. Soc. B, 59, 731-792; correction, 60 (1998), 661
-
(1997)
J. R. Statist. Soc. B
, vol.59
, pp. 731-792
-
-
Richardson, S.1
Green, P.J.2
-
200
-
-
34249044465
-
Motor unit number estimation using reversible jump Markov chain Monte Carlo (with discussion)
-
Ridall, P. G., Pettitt, A. N., Friel, N., Henderson, R. and McCombe, P. (2007) Motor unit number estimation using reversible jump Markov chain Monte Carlo (with discussion). Appl. Statist., 56, 235-269.
-
(2007)
Appl. Statist.
, vol.56
, pp. 235-269
-
-
Ridall, P.G.1
Pettitt, A.N.2
Friel, N.3
Henderson, R.4
Mccombe, P.5
-
201
-
-
0003919677
-
Monte Carlo Statistical Methods
-
1st edn. New York: Springer.
-
Robert, C. and Casella, G. (1999) Monte Carlo Statistical Methods1st edn. New York: Springer.
-
(1999)
-
-
Robert, C.1
Casella, G.2
-
202
-
-
33645958895
-
Bayesian independent component analysis with prior constraints: an application in biosignal analysis, deterministic and statistical methods in machine learning
-
Roberts, S. and Choudrey, R. (2005) Bayesian independent component analysis with prior constraints: an application in biosignal analysis, deterministic and statistical methods in machine learning. Lect. Notes Comput. Sci., 3635, 159-179.
-
(2005)
Lect. Notes Comput. Sci.
, vol.3635
, pp. 159-179
-
-
Roberts, S.1
Choudrey, R.2
-
203
-
-
0032205609
-
Bayesian approaches to Gaussian mixture modeling
-
Roberts, S. J., Husmeier, D., Rezek, I. and Penny, W. (1998) Bayesian approaches to Gaussian mixture modeling. IEEE Trans. Pattn Anal. Mach. Intell., 20, 1133-1142.
-
(1998)
IEEE Trans. Pattn Anal. Mach. Intell.
, vol.20
, pp. 1133-1142
-
-
Roberts, S.J.1
Husmeier, D.2
Rezek, I.3
Penny, W.4
-
204
-
-
0013037129
-
Optimal scaling for various Metropolis-Hastings algorithms
-
Roberts, G. O. and Rosenthal, J. S. (2001) Optimal scaling for various Metropolis-Hastings algorithms. Statist. Sci., 16, 351-367.
-
(2001)
Statist. Sci.
, vol.16
, pp. 351-367
-
-
Roberts, G.O.1
Rosenthal, J.S.2
-
206
-
-
85132364916
-
Exponential convergence of Langevin distributions and their discrete approximations
-
Roberts, G. O. and Tweedie, R. L. (1996) Exponential convergence of Langevin distributions and their discrete approximations. Bernoulli, 2, 341-363.
-
(1996)
Bernoulli
, vol.2
, pp. 341-363
-
-
Roberts, G.O.1
Tweedie, R.L.2
-
207
-
-
78650316383
-
Handbook of Markov Chain Monte Carlo
-
(eds S. Brooks, A. Gelman, G. Jones and X.-L. Meng). Boca Raton: Chapman and Hall-CRC Press.
-
Rosenthal, J. S. (2010) Optimal proposal distributions and adaptive MCMC. In Handbook of Markov Chain Monte Carlo (eds S. Brooks, A. Gelman, G. Jones and X.-L. Meng). Boca Raton: Chapman and Hall-CRC Press.
-
(2010)
Optimal proposal distributions and adaptive MCMC
-
-
Rosenthal, J.S.1
-
208
-
-
1842829625
-
Iterative Methods for Sparse Linear Systems
-
2nd edn, ch. 6. Philadelphia: Society for Industrial and Applied Mathematics.
-
Saad, Y. (2003) Iterative Methods for Sparse Linear Systems, 2nd edn, ch. 6. Philadelphia: Society for Industrial and Applied Mathematics.
-
(2003)
-
-
Saad, Y.1
-
209
-
-
0002505992
-
The State of the Art in Numerical Analysis
-
(eds I. S. Duff and G. A. Watson) - Oxford: Clarendon.
-
Sanz-Serna, J. M. (1997) Geometric integration. In The State of the Art in Numerical Analysis (eds I. S. Duff and G. A. Watson), pp. 121-143. Oxford: Clarendon.
-
(1997)
Geometric integration
, pp. 121-143
-
-
Sanz-Serna, J.M.1
-
210
-
-
47649119838
-
Nonnegative matrix factorization with Gaussian process priors
-
Schmidt, M. N. and Laurberg, H. (2008) Nonnegative matrix factorization with Gaussian process priors. Computnl Intell. Neursci., 1-10.
-
(2008)
Computnl Intell. Neursci.
, pp. 1-10
-
-
Schmidt, M.N.1
Laurberg, H.2
-
211
-
-
57049083998
-
Nesting forward-mode AD in a functional framework
-
Siskind, M. and Pearlmutter, B. (2008) Nesting forward-mode AD in a functional framework. High. Ord. Symbol. Computn, 21, 361-376.
-
(2008)
High. Ord. Symbol. Computn
, vol.21
, pp. 361-376
-
-
Siskind, M.1
Pearlmutter, B.2
-
212
-
-
29544451379
-
Monte Carlo computation of the Fisher information matrix in nonstandard settings
-
Spall, J. (2005) Monte Carlo computation of the Fisher information matrix in nonstandard settings. J. Comput. Graph. Statist., 14, 889-909.
-
(2005)
J. Comput. Graph. Statist.
, vol.14
, pp. 889-909
-
-
Spall, J.1
-
213
-
-
34547248473
-
New Riemannian metrics for speeding-up the convergence of over-and underdetermined ICA
-
Kos New York: Institute of Electrical and Electronics Engineers.
-
Squartini, S., Piazza, F. and Theis, F. (2006) New Riemannian metrics for speeding-up the convergence of over-and underdetermined ICA. In Proc. Int. Symp. Circuits and Systems Kos New York: Institute of Electrical and Electronics Engineers.
-
(2006)
Proc. Int. Symp. Circuits and Systems
-
-
Squartini, S.1
Piazza, F.2
Theis, F.3
-
214
-
-
0001697792
-
A Bayesian approach to geometric subspace estimation
-
Srivastava, A. (2000) A Bayesian approach to geometric subspace estimation. IEEE Trans Signal Process., 48, 1390-1400.
-
(2000)
IEEE Trans Signal Process.
, vol.48
, pp. 1390-1400
-
-
Srivastava, A.1
-
215
-
-
0037090016
-
Jump-diffusion markov processes on orthogonal groups for objects recognition
-
Srivastava, A., Grenander, U., Jensen, G. R. and Miller, M. I. (2002) Jump-diffusion markov processes on orthogonal groups for objects recognition. J. Statist. Planng Inf., 103, 15-37.
-
(2002)
J. Statist. Planng Inf.
, vol.103
, pp. 15-37
-
-
Srivastava, A.1
Grenander, U.2
Jensen, G.R.3
Miller, M.I.4
-
216
-
-
0036475030
-
Monte Carlo extrinsic estimators for manifold-valued parameters
-
Srivastava, A. and Klassen, E. (2001) Monte Carlo extrinsic estimators for manifold-valued parameters. IEEE Trans. Signal Process., 50, 299-308.
-
(2001)
IEEE Trans. Signal Process.
, vol.50
, pp. 299-308
-
-
Srivastava, A.1
Klassen, E.2
-
217
-
-
0000231847
-
Langevin-type models I: diffusions with given stationary distributions, and their discretizations
-
Stramer, O. and Tweedie, R. (1999a) Langevin-type models I: diffusions with given stationary distributions, and their discretizations. Methodol. Comput. Appl. Probab., 1, 283-306.
-
(1999)
Methodol. Comput. Appl. Probab.
, vol.1
, pp. 283-306
-
-
Stramer, O.1
Tweedie, R.2
-
218
-
-
0000231847
-
Langevin-type models II: self-targeting candidates for Hastings-Metropolis algorithms
-
Stramer, O. and Tweedie, R. (1999b) Langevin-type models II: self-targeting candidates for Hastings-Metropolis algorithms. Methodol. Comput. Appl. Probab., 1, 307-328.
-
(1999)
Methodol. Comput. Appl. Probab.
, vol.1
, pp. 307-328
-
-
Stramer, O.1
Tweedie, R.2
-
219
-
-
71449110790
-
Gradients on matrix manifolds and their chain rule
-
Theis, F. (2005) Gradients on matrix manifolds and their chain rule. Neur. Inform. Process., 9, 1-13.
-
(2005)
Neur. Inform. Process.
, vol.9
, pp. 1-13
-
-
Theis, F.1
-
220
-
-
79952288057
-
-
Geodesics in Monte Carlo sampling. Unpublished.
-
Transtrum, M. K., Chen, Y.-J. and Sethna, J. P. (2010) Geodesics in Monte Carlo sampling. Unpublished.
-
(2010)
-
-
Transtrum, M.K.1
Chen, Y.-J.2
Sethna, J.P.3
-
221
-
-
76649138302
-
Why are nonlinear fits to data so challenging?
-
Transtrum, M. K., Machta, B. B. and Sethna, J. P. (2010a). Why are nonlinear fits to data so challenging? Phys. Rev. Lett., 104, 1060201.
-
(2010)
Phys. Rev. Lett.
, vol.104
, pp. 1060201
-
-
Transtrum, M.K.1
Machta, B.B.2
Sethna, J.P.3
-
222
-
-
79952294722
-
-
The geometry of nonlinear least squares with applications to sloppy models and optimization. To be published.
-
Transtrum, M. K., Machta, B. B. and Sethna, J. P. (2010b) The geometry of nonlinear least squares with applications to sloppy models and optimization. To be published.
-
(2010)
-
-
Transtrum, M.K.1
Machta, B.B.2
Sethna, J.P.3
-
223
-
-
0003462953
-
Detection, Estimation and Modulation Theory, Part 1
-
New York: Wiley.
-
van Trees, H. L. (1968) Detection, Estimation and Modulation Theory, Part 1. New York: Wiley.
-
(1968)
-
-
van Trees, H.L.1
-
224
-
-
77953768713
-
Approximate inference for disease mapping with sparse Gaussian processes
-
Vanhatalo, J., Pietiläinen, V. and Vehtari, A. (2010) Approximate inference for disease mapping with sparse Gaussian processes. Statist. Med., 29, 1580-1607.
-
(2010)
Statist. Med.
, vol.29
, pp. 1580-1607
-
-
Vanhatalo, J.1
Pietiläinen, V.2
Vehtari, A.3
-
226
-
-
84255165453
-
Learning and Inference in Computational Systems Biology
-
(eds N. Lawrence, M. Girolami, M. Rattray and G. Sanguinetti) - Cambridge: MIT Press.
-
Wilkinson, D. J. and Golightly, A. (2010) Markov chain Monte Carlo algorithms for SDE parameter estimation. In Learning and Inference in Computational Systems Biology (eds N. Lawrence, M. Girolami, M. Rattray and G. Sanguinetti), pp. 253-275. Cambridge: MIT Press.
-
(2010)
Markov chain Monte Carlo algorithms for SDE parameter estimation
, pp. 253-275
-
-
Wilkinson, D.J.1
Golightly, A.2
-
227
-
-
85041123735
-
Divergence function, duality, and convex analysis
-
Zhang, J. (2004) Divergence function, duality, and convex analysis. Neur. Computn, 16, 159-195.
-
(2004)
Neur. Computn
, vol.16
, pp. 159-195
-
-
Zhang, J.1
-
228
-
-
84862299727
-
Reversible jump MCMC for non-negative matrix factorization
-
Zhong, M. and Girolami, M. (2009) Reversible jump MCMC for non-negative matrix factorization. In Proc. 12th Int. Conf. Artificial Intelligence and Statistics, Clearwater Beach, vol. 5, pp. 663-670.
-
(2009)
Proc. 12th Int. Conf. Artificial Intelligence and Statistics, Clearwater Beach
, vol.5
, pp. 663-670
-
-
Zhong, M.1
Girolami, M.2
-
229
-
-
0040333774
-
Manifold stochastic dynamics for Bayesian Learning
-
Zlochin, M. and Baram, Y. (2001) Manifold stochastic dynamics for Bayesian Learning. Neur. Computn, 13, 2549-2572.
-
(2001)
Neur. Computn
, vol.13
, pp. 2549-2572
-
-
Zlochin, M.1
Baram, Y.2
|