-
1
-
-
77953523599
-
Particle Markov Chain Monte Carlo Methods” (with discussion)
-
Andrieu, C., Doucet, A., Holenstein, R. (2010), Particle Markov Chain Monte Carlo Methods” (with discussion), Journal of Royal Statistical Society, 72, 269–342.
-
(2010)
Journal of Royal Statistical Society
, vol.72
, pp. 269-342
-
-
Andrieu, C.1
Doucet, A.2
Holenstein, R.3
-
2
-
-
60149103563
-
The Pseudo-Marginal Approach for Efficient Computation
-
Andrieu, C., Roberts, G.O. (2009), The Pseudo-Marginal Approach for Efficient Computation, The Annals of Statistics, 37, 697–725.
-
(2009)
The Annals of Statistics
, vol.37
, pp. 697-725
-
-
Andrieu, C.1
Roberts, G.O.2
-
3
-
-
84874776816
-
Efficient Gaussian Process Regression for Large Data Sets
-
Banerjee, A., Dunson, D., Tokdar, S. (2013), Efficient Gaussian Process Regression for Large Data Sets, Biometrika, 100, 75–89.
-
(2013)
Biometrika
, vol.100
, pp. 75-89
-
-
Banerjee, A.1
Dunson, D.2
Tokdar, S.3
-
6
-
-
0011241944
-
Approximate Inference in Generalized Linear Mixed Models
-
Breslow, N.E., Clayton, D.G. (1993), Approximate Inference in Generalized Linear Mixed Models, Journal of the American Statistical Association, 88, 9–25.
-
(1993)
Journal of the American Statistical Association
, vol.88
, pp. 9-25
-
-
Breslow, N.E.1
Clayton, D.G.2
-
7
-
-
84972539015
-
Neural Networks: A Review From a Statistical Perspective” (with discussion)
-
Cheng, B., Titterington, D.M. (1994), Neural Networks: A Review From a Statistical Perspective” (with discussion), Statistical Science, 9, 2–54.
-
(1994)
Statistical Science
, vol.9
, pp. 2-54
-
-
Cheng, B.1
Titterington, D.M.2
-
8
-
-
70449525463
-
-
PhD thesis, Carnegie Mellon University, Pittsburgh, PA
-
Choi, T. (2005), “Posterior Consistency in Nonparametric Regression Problems under Gaussian Process Priors,” PhD thesis, Carnegie Mellon University, Pittsburgh, PA.
-
(2005)
Posterior Consistency in Nonparametric Regression Problems under Gaussian Process Priors
-
-
Choi, T.1
-
9
-
-
0013028154
-
An Introduction to Model Based Geostatistics
-
Møller J., (ed), New York: Springer-Verlag
-
Diggle, P.J., Ribeiro Jr, P.J., Christensen, O.F. (2003), “An Introduction to Model Based Geostatistics,” in Lecture Notes in Statistics (Vol. 173), ed. J. Møller, New York: Springer-Verlag.
-
(2003)
Lecture Notes in Statistics (Vol. 173)
-
-
Diggle, P.J.1
Ribeiro Jr, P.J.2
Christensen, O.F.3
-
11
-
-
0035649015
-
Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors
-
Fahrmeir, L., Lang, S. (2001), Bayesian Inference for Generalized Additive Mixed Models Based on Markov Random Field Priors, Applied Statistics, 50, 201–220.
-
(2001)
Applied Statistics
, vol.50
, pp. 201-220
-
-
Fahrmeir, L.1
Lang, S.2
-
12
-
-
0141464871
-
Adaptive Varying-Coefficient Linear Models
-
Fan, J., Yao, Q., Cai, Z. (2003), Adaptive Varying-Coefficient Linear Models, Journal of Royal Statistical Society, 65, 57–80.
-
(2003)
Journal of Royal Statistical Society
, vol.65
, pp. 57-80
-
-
Fan, J.1
Yao, Q.2
Cai, Z.3
-
13
-
-
0034355052
-
Two-Step Estimation of Functional Linear Models With Applications to Longitudinal Data
-
Fan, J., Zhang, J.-T. (2000), Two-Step Estimation of Functional Linear Models With Applications to Longitudinal Data, Journal of Royal Statistical Society, 62, 303–322.
-
(2000)
Journal of Royal Statistical Society
, vol.62
, pp. 303-322
-
-
Fan, J.1
Zhang, J.-T.2
-
14
-
-
33847339319
-
Posterior Consistency of Gaussian Process Prior for Nonparametric Binary Regression
-
Ghosal, S., Roy, A. (2006), Posterior Consistency of Gaussian Process Prior for Nonparametric Binary Regression, The Annals of Statistics, 34, 2413–2429.
-
(2006)
The Annals of Statistics
, vol.34
, pp. 2413-2429
-
-
Ghosal, S.1
Roy, A.2
-
15
-
-
47649117281
-
Modelling Sparse Generalized Longitudinal Observations With Latent Gaussian Processes
-
Hall, P., Müller, H.-G., Yao, F. (2008), Modelling Sparse Generalized Longitudinal Observations With Latent Gaussian Processes, Journal of Royal Statistical Society, 70, 703–723.
-
(2008)
Journal of Royal Statistical Society
, vol.70
, pp. 703-723
-
-
Hall, P.1
Müller, H.-G.2
Yao, F.3
-
17
-
-
16344385077
-
Nonlinear Modelling of FES-supported Standing up in Paraplegia for Selection of Feedback Sensors
-
Kamnik, R., Shi, J.Q., Murray-Smith, R., Bajd, T. (2005), Nonlinear Modelling of FES-supported Standing up in Paraplegia for Selection of Feedback Sensors, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 13, 40–52.
-
(2005)
IEEE Transactions on Neural Systems & Rehabilitation Engineering
, vol.13
, pp. 40-52
-
-
Kamnik, R.1
Shi, J.Q.2
Murray-Smith, R.3
Bajd, T.4
-
18
-
-
77952560131
-
Semiparametric Mean-Covariance Regression Analysis for Longitudinal Data
-
Leng, C., Zhang, W., Pan, J. (2009), Semiparametric Mean-Covariance Regression Analysis for Longitudinal Data, Journal of the American Statistical Association, 105, 181–193.
-
(2009)
Journal of the American Statistical Association
, vol.105
, pp. 181-193
-
-
Leng, C.1
Zhang, W.2
Pan, J.3
-
19
-
-
33846339755
-
Convergence Rate of MLE in Generalized Linear and Nonlinear Mixed-Effects Models: Theory and Applications
-
Nie, L. (2007), Convergence Rate of MLE in Generalized Linear and Nonlinear Mixed-Effects Models: Theory and Applications, Journal of Statistical Planning and Inference, 137, 1787–1804.
-
(2007)
Journal of Statistical Planning and Inference
, vol.137
, pp. 1787-1804
-
-
Nie, L.1
-
20
-
-
34547900221
-
Characterizing the Function Space for Bayesian Kernel Models
-
Pillai, N.S., Wu, Q., Liang, F., Mukherjee, S., Wolpert, R.L. (2007), Characterizing the Function Space for Bayesian Kernel Models, Journal of Machine Learning Research, 8, 1769–1797.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1769-1797
-
-
Pillai, N.S.1
Wu, Q.2
Liang, F.3
Mukherjee, S.4
Wolpert, R.L.5
-
23
-
-
0001597980
-
Estimating the Mean and Covariance Nonparametrically When the Data are Curves
-
Rice, J.A., Silverman, B.W. (1991), Estimating the Mean and Covariance Nonparametrically When the Data are Curves, Journal of Royal Statistical Society, 53, 233–243.
-
(1991)
Journal of Royal Statistical Society
, vol.53
, pp. 233-243
-
-
Rice, J.A.1
Silverman, B.W.2
-
24
-
-
62849120031
-
Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations” (with discussion)
-
Rue, H., Martino, S., Chopin, N. (2009), Approximate Bayesian Inference for Latent Gaussian Models Using Integrated Nested Laplace Approximations” (with discussion), Journal of Royal Statistical Society, 71, 319–392.
-
(2009)
Journal of Royal Statistical Society
, vol.71
, pp. 319-392
-
-
Rue, H.1
Martino, S.2
Chopin, N.3
-
26
-
-
43749083506
-
Information Consistency of Nonparametric Gaussian Process Methods
-
Seeger, M.W., Kakade, S.M., Foster, D.P. (2008), Information Consistency of Nonparametric Gaussian Process Methods, IEEE Transactions on Information Theory, 54, 2376–2382.
-
(2008)
IEEE Transactions on Information Theory
, vol.54
, pp. 2376-2382
-
-
Seeger, M.W.1
Kakade, S.M.2
Foster, D.P.3
-
27
-
-
50949099191
-
Generalized Varying Coefficient Models for Longitudinal Data
-
Şentürk, D., Müller, H.-G. (2008), Generalized Varying Coefficient Models for Longitudinal Data, Biometrika, 95, 653–666.
-
(2008)
Biometrika
, vol.95
, pp. 653-666
-
-
Şentürk, D.1
Müller, H.-G.2
-
28
-
-
78649433292
-
Functional Varying Coefficient Models for Longitudinal Data
-
Şentürk, D., Müller, H.-G. (2010), Functional Varying Coefficient Models for Longitudinal Data, Journal of the American Statistical Association, 105, 1256–1264.
-
(2010)
Journal of the American Statistical Association
, vol.105
, pp. 1256-1264
-
-
Şentürk, D.1
Müller, H.-G.2
-
30
-
-
24144438211
-
Learning With Large Data-Sets Using a Filting Approach
-
Murray-Smith R., R, Shorten ., (eds), Berlin Heidelberg: Springer-Verlag:
-
Shi, J.Q., Murray-Smith, R., Titterington, D.M., Pearlmutter, B.A. (2005), “Learning With Large Data-Sets Using a Filting Approach,” in Switching and Learning in Feedback Systems, eds. R. Murray-Smith and R. Shorten, Berlin Heidelberg: Springer-Verlag, 128–139.
-
(2005)
Switching and Learning in Feedback Systems
, pp. 128-139
-
-
Shi, J.Q.1
Murray-Smith, R.2
Titterington, D.M.3
Pearlmutter, B.A.4
-
31
-
-
45449097427
-
Curve Prediction and Clustering With Mixtures of Gaussian Process Functional Regression Models
-
Shi, J.Q., Wang, B. (2008), Curve Prediction and Clustering With Mixtures of Gaussian Process Functional Regression Models, Statistics and Computing, 18, 267–283.
-
(2008)
Statistics and Computing
, vol.18
, pp. 267-283
-
-
Shi, J.Q.1
Wang, B.2
-
32
-
-
34548459917
-
Gaussian Process Functional Regression Modelling for Batch Data
-
Shi, J.Q., Wang, B., Murray-Smith, R., Titterington, D.M. (2007), Gaussian Process Functional Regression Modelling for Batch Data, Biometrics, 63, 714–723.
-
(2007)
Biometrics
, vol.63
, pp. 714-723
-
-
Shi, J.Q.1
Wang, B.2
Murray-Smith, R.3
Titterington, D.M.4
-
33
-
-
84867501400
-
Mixed-Effects GPFR Models With Application to Dose-Response Curve Prediction
-
Shi, J.Q., Wang, B., Will, E.J., West, R.M. (2012), Mixed-Effects GPFR Models With Application to Dose-Response Curve Prediction, Statistics in Medicine, 31, 3165–3177.
-
(2012)
Statistics in Medicine
, vol.31
, pp. 3165-3177
-
-
Shi, J.Q.1
Wang, B.2
Will, E.J.3
West, R.M.4
-
35
-
-
19744369661
-
Functional Linear Regression Analysis for Longitudinal Data
-
Yao, F., Müller, H.-G., Wang, J.L. (2005a), Functional Linear Regression Analysis for Longitudinal Data, The Annals of Statistics, 33, 2873–2903.
-
(2005)
The Annals of Statistics
, vol.33
, pp. 2873-2903
-
-
Yao, F.1
Müller, H.-G.2
Wang, J.L.3
-
36
-
-
19744375466
-
Functional Data Analysis for Sparse Longitudinal Data
-
——— (2005b), Functional Data Analysis for Sparse Longitudinal Data, Journal of the American Statistical Association, 100, 577–590.
-
(2005)
Journal of the American Statistical Association
, vol.100
, pp. 577-590
-
-
|