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Markov chain Monte Carlo in Practice

文件格式:DjVu 可复制性:可复制 TAG标签: Practice Monte carlo Chain Markov 点击次数: 更新时间:2009-11-04 11:08
介绍

Contributors xv
1 Introducing Markov chain Monte Carlo

2 Hepatitis B: a case study in MCMC methods

3 Markov chain concepts related to sampling algorithms

4 Introduction to general state-space Markov chain theory

5 Full conditional distributions

6 Strategies for improving MCMC

7 Implementing MCMC

8 Inference and monitoring convergence

9 Model determination using sampling-based methods

10 Hypothesis testing and model selection

11 Model checking and model improvement

12 Stochastic search variable selection

13 Bayesian model comparison via jump diffusions

14 Estimation and optimization of functions

15 Stochastic EM: method and application

16 Generalized linear mixed models

17 Hierarchical longitudinal modelling

18 Medical monitoring

19 MCMC for nonlinear hierarchical models

20 Bayesian mapping of disease

21 MCMC in image analysis

22 Measurement error

23 Gibbs sampling methods in genetics

24 Mixtures of distributions: inference and estimation

25 An archaeological example: radiocarbon dating

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