Contributors xv 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 |