4.6 Article

Marginal likelihood estimation via power posteriors

Related references

Note: Only part of the references are listed.
Article Mathematical & Computational Biology

Bayesian inference of hospital-acquired infectious diseases and control measures given imperfect surveillance data

M. L. Forrester et al.

BIOSTATISTICS (2007)

Article Statistics & Probability

Motor unit number estimation using reversible jump Markov chain Monte Carlo methods

P. G. Ridall et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2007)

Review Statistics & Probability

Transdimensional Markov chains: A decade of progress and future perspectives

SA Sisson

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2005)

Article Biology

Efficient recursions for general factorisable models

R Reeves et al.

BIOMETRIKA (2004)

Article Statistics & Probability

Bayesian texture segmentation of weed and crop images using reversible jump Markov chain Monte Carlo methods

IL Dryden et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2003)

Article Statistics & Probability

Efficient construction of reversible jump Markov chain Monte Carlo proposal distributions

SP Brooks et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2003)

Article Statistics & Probability

Hidden Markov models and disease mapping

PJ Green et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2002)

Article Biology

Expected-posterior prior distributions for model selection

JM Pérez et al.

BIOMETRIKA (2002)

Article Statistics & Probability

Bayesian measures of model complexity and fit

DJ Spiegelhalter et al.

JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2002)

Review Statistics & Probability

Markov chain Monte Carlo methods for computing Bayes factors: A comparative review

C Han et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)

Article Statistics & Probability

Real-parameter evolutionary Monte Carlo with applications to Bayesian mixture models

FM Liang et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)

Article Statistics & Probability

On the relationship between Markov chain Monte Carlo methods for model uncertainty

SJ Godsill

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2001)

Article Statistics & Probability

Marginal likelihood from the Metropolis-Hastings output

S Chib et al.

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)