Reversible jump Markov chain Monte Carlo computation and Bayesian model determination (1995)

by Peter J. Green
Venue:Biometrika
Citations:826 - 19 self

Active Bibliography

57 Trans-dimensional Markov chain Monte Carlo – Peter J. Green, Juha Heikkinen - 2003
440 On Bayesian analysis of mixtures with an unknown number of components – Sylvia Richardson, Peter J. Green - 1997
Direct Simulation Methods for Multiple Changepoints Problems – Zhen Liu - 2007
Estimation Of Gibbs Point Processes By Monte Carlo Methods – Juha Heikkinen - 1995
14 Bayesian smoothing in the estimation of the pair potential function of Gibbs point processes – Juha Heikkinen, Antti Penttinen - 1999
38 The Equity Premium and Structural Breaks – Lubos Pastor, Robert F. Stambaugh - 2000
22 A tutorial on Reversible Jump MCMC with a view toward applications in QTL-mapping – Rasmus Waagepetersen , Daniel Sorensen - 2006
15 Markov Chain Monte Carlo and Spatial Point Processes – J. Møller - 1999
22 Image Sequence Restoration Using Gibbs Distributions – Robin David Morris - 1995
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50 Prediction via Orthogonalized Model Mixing – Merlise Clyde, Heather DeSimone, Giovanni Parmigiani - 1994
65, Part 3, pp. 679–700 Reversible jump, birth-and-death and more general continuous time Markov chain Monte Carlo samplers – Christian P. Robert, Tobias Rydén - 2001
4 Bayesian Computational Approaches to Model Selection – C. Andrieu, A. Doucet, W.J. Fitzgerald, J.-M. Pérez - 2000
20 Model Selection by MCMC Computation – C. Andrieu, P.M. Djuric, A. Doucet - 2001
18 Transdimensional Markov Chains: A Decade of Progress and Future Perspectives – Scott A. Sisson - 2005
18 Markov Chain Monte Carlo for Statistical Inference – Julian Besag - 2000