Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review (1996)

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by Mary Kathryn Cowles , Bradley P. Carlin
Venue:Journal of the American Statistical Association
Citations:221 - 6 self

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Diagnostics: A Comparative Review – Kathryn Cowles, Bradley P. Carlin
16 Possible biases induced by MCMC convergence diagnostics – Mary Kathryn Cowles, Gareth O. Roberts, Jeffrey S. Rosenthal - 1997
1 A Short History of Markov Chain Monte Carlo: Subjective Recollections from Incomplete Data 1 – Christian Robert
Efficient Perfect and MCMC Sampling . . . – Murali Haran - 2003
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
751 Markov chains for exploring posterior distributions – Luke Tierney - 1994
4 Markov Chain Monte Carlo and Gibbs Sampling – B. Walsh - 2004
32 Methods for Approximating Integrals in Statistics with Special Emphasis on Bayesian Integration Problems – Michael Evans, Tim Swartz
114 General state space Markov chains and MCMC algorithm – Gareth O. Roberts, Jeffrey S. Rosenthal - 2004
Variance Reduction – In Any
. Variance reduction – In Any Of, N In
9 Ordering, Slicing And Splitting Monte Carlo Markov Chains – Antonietta Mira - 1998
21 Parallel computing and Monte Carlo algorithms – Jeffrey S. Rosenthal - 1999
87 Regeneration in Markov Chain Samplers – Per Mykland, Luke Tierney, Bin Yu - 1994
91 Markov Chain Monte Carlo Simulation Methods in Econometrics – Siddhartha Chib, Edward Greenberg - 1993
21 A simulation approach to convergence rates for Markov chain Monte Carlo algorithms – Mary Kathryn Cowles, Jeffrey S. Rosenthal - 1996
Computer Based Statistical Treatment in Models with Incidental Parameters Inspired by Car Crash Data – Anna Vadeby
10 Gibbs Sampling – Alan E. Gelfand - 1995
15 Markov Chain Monte Carlo and Spatial Point Processes – J. Møller - 1999