Markov Chain Monte Carlo in Practice
โ Gilks W. R., Richardson S., Spiegelhalter D. J.
๐ Library
๐ English
โฆ LIBER โฆ
๐
Markov Chain Monte Carlo in Practice
โ Scribed by Walter R. Gilks, Sylvia Richardson (auth.), Walter R. Gilks, Sylvia Richardson, David J. Spiegelhalter (eds.)
- Publisher
- Springer US
- Year
- 1996
- Tongue
- English
- Leaves
- 487
- Category
- Library
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โฆ Table of Contents
Content:
Front Matter....Pages i-xvii
Introducing Markov chain Monte Carlo....Pages 1-19
Hepatitis B: a case study in MCMC methods....Pages 21-43
Markov chain concepts related to sampling algorithms....Pages 45-57
Introduction to general state-space Markov chain theory....Pages 59-74
Full conditional distributions....Pages 75-88
Strategies for improving MCMC....Pages 89-114
Implementing MCMC....Pages 115-130
Inference and monitoring convergence....Pages 131-143
Model determination using sampling-based methods....Pages 145-161
Hypothesis testing and model selection....Pages 163-187
Model checking and model improvement....Pages 189-201
Stochastic search variable selection....Pages 203-214
Bayesian model comparison via jump diffusions....Pages 215-239
Estimation and optimization of functions....Pages 241-258
Stochastic EM: method and application....Pages 259-273
Generalized linear mixed models....Pages 275-301
Hierarchical longitudinal modelling....Pages 303-319
Medical monitoring....Pages 321-337
MCMC for nonlinear hierarchical models....Pages 339-357
Bayesian mapping of disease....Pages 359-379
MCMC in image analysis....Pages 381-399
Measurement error....Pages 401-417
Gibbs sampling methods in genetics....Pages 419-440
Mixtures of distributions: inference and estimation....Pages 441-464
An archaeological example: radiocarbon dating....Pages 465-480
Back Matter....Pages 481-486
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