-
1
-
-
0026840621
-
Stationarity detection in the initial transient problem
-
Asmussen, S., Glynn, P. W. & Thorisson, H. (1992). Stationarity detection in the initial transient problem. ACM Trans. Model. Comput. Simul. 2, 130-157.
-
(1992)
ACM Trans. Model. Comput. Simul.
, vol.2
, pp. 130-157
-
-
Asmussen, S.1
Glynn, P.W.2
Thorisson, H.3
-
2
-
-
0000991156
-
A new approach to the limit theory of recurrent Markov chains
-
Athreya, K. B. & Ney, P. (1978). A new approach to the limit theory of recurrent Markov chains. Trans. Am. Math. Soc. 245, 493-501.
-
(1978)
Trans. Am. Math. Soc.
, vol.245
, pp. 493-501
-
-
Athreya, K.B.1
Ney, P.2
-
3
-
-
14544277112
-
Renewal theory and computable convergence rates for geometrically ergodic Markov chains
-
Baxendale, P. H. (2005). Renewal theory and computable convergence rates for geometrically ergodic Markov chains. Ann. Appl. Probab. 15, 700-738.
-
(2005)
Ann. Appl. Probab.
, vol.15
, pp. 700-738
-
-
Baxendale, P.H.1
-
5
-
-
20744442841
-
Identification of regeneration times in MCMC simulation, with application to adaptive schemes
-
Brockwell, A. E. & Kadane, J. B. (2005). Identification of regeneration times in MCMC simulation, with application to adaptive schemes. J. Comput. Graph. Statist. 14, 436-458.
-
(2005)
J. Comput. Graph. Statist.
, vol.14
, pp. 436-458
-
-
Brockwell, A.E.1
Kadane, J.B.2
-
6
-
-
0041481053
-
Perfect forward simulation via simulated tempering
-
University of Cambridge, Cambridge
-
Brooks, S. P., Fan, Y. & Rosenthal, J. S. (2004). Perfect forward simulation via simulated tempering. Technical Report, University of Cambridge, Cambridge.
-
(2004)
Technical Report
-
-
Brooks, S.P.1
Fan, Y.2
Rosenthal, J.S.3
-
7
-
-
0033468528
-
Central limit theorems for the Wasserstein distance between the empirical and the true distributions
-
Del Barrio, E., Gine, E. & Matran, C. (1999). Central limit theorems for the Wasserstein distance between the empirical and the true distributions. Ann. Probab. 27, 1009-1071.
-
(1999)
Ann. Probab.
, vol.27
, pp. 1009-1071
-
-
Del Barrio, E.1
Gine, E.2
Matran, C.3
-
8
-
-
14544282666
-
Quantitative bounds on convergence of timeinhomogeneous Markov chains
-
Douc, R., Moulines, E. & Rosenthal, J. S. (2004). Quantitative bounds on convergence of timeinhomogeneous Markov chains. Ann. Appl. Probab. 14, 1643-1665.
-
(2004)
Ann. Appl. Probab.
, vol.14
, pp. 1643-1665
-
-
Douc, R.1
Moulines, E.2
Rosenthal, J.S.3
-
9
-
-
0034360070
-
Extension of Fill's perfect rejection sampling algorithm to general chains
-
Fill, J. A., Machida, M., Murdoch, D. J. & Rosenthal, J. S. (2000). Extension of Fill's perfect rejection sampling algorithm to general chains. Random Struc. Algorithms 17, 290-316.
-
(2000)
Random Struc. Algorithms
, vol.17
, pp. 290-316
-
-
Fill, J.A.1
Machida, M.2
Murdoch, D.J.3
Rosenthal, J.S.4
-
10
-
-
84972492387
-
Inference from iterative simulation using multiple sequences (with discussion)
-
Gelman, A. & Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences (with discussion). Statist. Sci. 7, 457-472.
-
(1992)
Statist. Sci.
, vol.7
, pp. 457-472
-
-
Gelman, A.1
Rubin, D.B.2
-
11
-
-
0000106855
-
On the convergence of Monte Carlo maximum likelihood calculations
-
Geyer, C. J. (1994). On the convergence of Monte Carlo maximum likelihood calculations. J. Roy. Statist. Soc. Ser. B 56, 261-274.
-
(1994)
J. Roy. Statist. Soc. Ser. B
, vol.56
, pp. 261-274
-
-
Geyer, C.J.1
-
12
-
-
0000247137
-
Estimation and optimization of functions
-
(eds W. R. Gilks, S. Richardson & D. J. E. Spiegelhalter), Chapman & Hall, Boca Raton
-
Geyer, C. J. (1996). Estimation and optimization of functions. In Markov chain Monte Carlo in practice (eds W. R. Gilks, S. Richardson & D. J. E. Spiegelhalter), 241-258. Chapman & Hall, Boca Raton.
-
(1996)
Markov Chain Monte Carlo in Practice
, pp. 241-258
-
-
Geyer, C.J.1
-
13
-
-
84950437936
-
Annealing Markov chain Monte Carlo with applications to ancestral inference
-
Geyer, C. J. & Thompson, E. A. (1995). Annealing Markov chain Monte Carlo with applications to ancestral inference. J. Am. Statist. Assoc. 90, 909-920.
-
(1995)
J. Am. Statist. Assoc.
, vol.90
, pp. 909-920
-
-
Geyer, C.J.1
Thompson, E.A.2
-
14
-
-
0035351618
-
Computing densities for Markov chains via simulation
-
Henderson, S. G. & Glynn, P. W. (2001). Computing densities for Markov chains via simulation. Math. Oper. Res. 26, 375-400.
-
(2001)
Math. Oper. Res.
, vol.26
, pp. 375-400
-
-
Henderson, S.G.1
Glynn, P.W.2
-
15
-
-
0038569359
-
Geometric ergodicity of Gibbs and block Gibbs samplers for a hierarchical random effects model
-
Hobert, J. P. & Geyer, C. J. (1998). Geometric ergodicity of Gibbs and block Gibbs samplers for a hierarchical random effects model. J. Multivar. Anal. 67, 414-430.
-
(1998)
J. Multivar. Anal.
, vol.67
, pp. 414-430
-
-
Hobert, J.P.1
Geyer, C.J.2
-
16
-
-
9744242175
-
A mixture representation of π with applications in Markov chain Monte Carlo and perfect sampling
-
Hobert, J. P. & Robert, C. P. (2004). A mixture representation of π with applications in Markov chain Monte Carlo and perfect sampling. Ann. Appl. Probab. 14, 1295-1305.
-
(2004)
Ann. Appl. Probab.
, vol.14
, pp. 1295-1305
-
-
Hobert, J.P.1
Robert, C.P.2
-
17
-
-
2142780945
-
On the applicability of regenerative simulation in Markov chain Monte Carlo
-
Hobert, J. P., Jones, G. L., Presnell, B. & Rosenthal, J. S. (2002). On the applicability of regenerative simulation in Markov chain Monte Carlo. Biometrika 89, 731-743.
-
(2002)
Biometrika
, vol.89
, pp. 731-743
-
-
Hobert, J.P.1
Jones, G.L.2
Presnell, B.3
Rosenthal, J.S.4
-
18
-
-
0036117479
-
Polynomial convergence rates of Markov chains
-
Jarner, S. F. & Roberts, G. O. (2002). Polynomial convergence rates of Markov chains. Ann. Appl. Probab. 12, 224-247.
-
(2002)
Ann. Appl. Probab.
, vol.12
, pp. 224-247
-
-
Jarner, S.F.1
Roberts, G.O.2
-
19
-
-
33645087459
-
On the Markov chain central limit theorem
-
Jones, G. L. (2004). On the Markov chain central limit theorem. Probab. Surveys 1, 299-320.
-
(2004)
Probab. Surveys
, vol.1
, pp. 299-320
-
-
Jones, G.L.1
-
20
-
-
0000154395
-
Honest exploration of intractable probability distributions via Markov chain Monte Carlo
-
Jones, G. L. & Hobert, J. P. (2001). Honest exploration of intractable probability distributions via Markov chain Monte Carlo. Statist. Sci. 16, 312-334.
-
(2001)
Statist. Sci.
, vol.16
, pp. 312-334
-
-
Jones, G.L.1
Hobert, J.P.2
-
21
-
-
24344493048
-
Sufficient burn-in for Gibbs samplers for a hierarchical random effects model
-
Jones, G. L. & Hobert, J. P. (2004). Sufficient burn-in for Gibbs samplers for a hierarchical random effects model. Ann. Statist. 32, 784-817.
-
(2004)
Ann. Statist.
, vol.32
, pp. 784-817
-
-
Jones, G.L.1
Hobert, J.P.2
-
23
-
-
33644899039
-
Simulated tempering: A new Monte Carlo scheme
-
Marinari, E. & Parisi, G. (1992). Simulated tempering: A new Monte Carlo scheme. Europhys. Lett. 19, 451-458.
-
(1992)
Europhys. Lett.
, vol.19
, pp. 451-458
-
-
Marinari, E.1
Parisi, G.2
-
24
-
-
0030551974
-
Rates of convergence of the Hastings and Metropolis algorithms
-
Mengersen, K. & 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.1
Tweedie, R.L.2
-
26
-
-
0000566364
-
Computable bounds for geometric convergence rates of Markov chains
-
Meyn, S. P. & Tweedie, R. L. (1994). Computable bounds for geometric convergence rates of Markov chains. Ann. Appl. Probab. 4, 981-1011.
-
(1994)
Ann. Appl. Probab.
, vol.4
, pp. 981-1011
-
-
Meyn, S.P.1
Tweedie, R.L.2
-
27
-
-
84858562613
-
Perfect simulation for sample-based inference
-
forthcoming
-
Möller, J. & Nicholls, G. K. (2005). Perfect simulation for sample-based inference. Stat. Comput., forthcoming.
-
(2005)
Stat. Comput.
-
-
Möller, J.1
Nicholls, G.K.2
-
28
-
-
0032363044
-
Exact sampling from a continuous state space
-
Murdoch, D. J. & Green, P. J. (1998). Exact sampling from a continuous state space. Scand. J. Statist. 25, 483-502.
-
(1998)
Scand. J. Statist.
, vol.25
, pp. 483-502
-
-
Murdoch, D.J.1
Green, P.J.2
-
29
-
-
21844481621
-
Regeneration in Markov chain samplers
-
Mykland, P., Tierney, L. & Yu, B. (1995). Regeneration in Markov chain samplers. J. Am. Statist. Assoc. 90, 233-241.
-
(1995)
J. Am. Statist. Assoc.
, vol.90
, pp. 233-241
-
-
Mykland, P.1
Tierney, L.2
Yu, B.3
-
30
-
-
0000427555
-
A splitting technique for Harris recurrent Markov chains
-
Nummelin, E. (1978). A splitting technique for Harris recurrent Markov chains. Z. Wahr. Verw. Geb. 43, 309-318.
-
(1978)
Z. Wahr. Verw. Geb.
, vol.43
, pp. 309-318
-
-
Nummelin, E.1
-
32
-
-
1842607847
-
-
R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-00-3
-
R Development Core Team (2004). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-00-3.
-
(2004)
R: A Language and Environment for Statistical Computing
-
-
-
34
-
-
0001514831
-
Bounds on regeneration times and convergence rates for Markov chains
-
Roberts, G. O. & Tweedie, R. L. (1999). Bounds on regeneration times and convergence rates for Markov chains. Stochast. Process. Appl. 80, 211-229.
-
(1999)
Stochast. Process. Appl.
, vol.80
, pp. 211-229
-
-
Roberts, G.O.1
Tweedie, R.L.2
-
35
-
-
84923618271
-
Minorization conditions and convergence rates for Markov chain Monte Carlo
-
Rosenthal, J. S. (1995a). Minorization conditions and convergence rates for Markov chain Monte Carlo. J. Am. Statist. Assoc. 90, 558-566.
-
(1995)
J. Am. Statist. Assoc.
, vol.90
, pp. 558-566
-
-
Rosenthal, J.S.1
-
36
-
-
0001096889
-
Rates of convergence for Gibbs sampling for variance component models
-
Rosenthal, J. S. (1995b). Rates of convergence for Gibbs sampling for variance component models. Ann. Statist. 23, 740-761.
-
(1995)
Ann. Statist.
, vol.23
, pp. 740-761
-
-
Rosenthal, J.S.1
-
39
-
-
0242458502
-
Density estimation for the Metropolis-Hastings algorithm
-
Sköld, M. & Roberts, G. O. (2003). Density estimation for the Metropolis-Hastings algorithm. Scand. J. Statist. 31, 699-718.
-
(2003)
Scand. J. Statist.
, vol.31
, pp. 699-718
-
-
Sköld, M.1
Roberts, G.O.2
-
40
-
-
0034381555
-
How to couple from the past using a read-once source of randomness
-
Wilson, D. B. (2000). How to couple from the past using a read-once source of randomness. Random Struct. Algorithms 16, 85-113.
-
(2000)
Random Struct. Algorithms
, vol.16
, pp. 85-113
-
-
Wilson, D.B.1
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