Markov chains for exploring posterior distributions (1994)

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by Luke Tierney
Venue:Annals of Statistics
Citations:747 - 6 self

Active Bibliography

32 Methods for Approximating Integrals in Statistics with Special Emphasis on Bayesian Integration Problems – Michael Evans, Tim Swartz
1 A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data 1 – Christian Robert
10 Gibbs Sampling – Alan E. Gelfand - 1995
Diagnostics: A Comparative Review – Kathryn Cowles, Bradley P. Carlin
223 Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review – Mary Kathryn Cowles, Bradley P. Carlin - 1996
. Variance reduction – In Any Of, N In
Variance Reduction – In Any
7 Markov chain Monte Carlo methods for statistical inference – Julian Besag - 2004
9 Ordering, Slicing And Splitting Monte Carlo Markov Chains – Antonietta Mira - 1998
199 Using simulation methods for Bayesian econometric models: Inference, development and communication – John Geweke - 1999
18 Markov Chain Monte Carlo for Statistical Inference – Julian Besag - 2000
87 Regeneration in Markov Chain Samplers – Per Mykland, Luke Tierney, Bin Yu - 1994
59 On the Convergence of Monte Carlo Maximum Likelihood Calculations – Charles J. Geyer - 1992
4 Markov Chain Monte Carlo and Gibbs Sampling – B. Walsh - 2004
6 Alternatives to the Gibbs Sampling Scheme – Peter Müller - 1992
15 Markov Chain Monte Carlo and Spatial Point Processes – J. Møller - 1999
Markov Chain Monte Carlo in Practice: A Roundtable Discussion – Moderator Robert Panelists, Moderator Robert, E. Kass, Panelists Bradley, P. Carlin, Andrew Gelman, Radford M. Neal
Efficient Perfect and MCMC Sampling . . . – Murali Haran - 2003
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996