ABSTRACT

In a family study of breast cancer, epidemiologists in Southern California increase the power for detecting a gene-environment interaction. In Gambia, a study helps a vaccination program reduce the incidence of Hepatitis B carriage. Archaeologists in Austria place a Bronze Age site in its true temporal location on the calendar scale. And in France,

chapter 1|20 pages

Introducing Markov chain Monte Carlo

chapter 2|24 pages

Hepatitis B: a case study in MCMC methods

chapter 5|14 pages

Full conditional distributions

chapter 6|26 pages

Strategies for improving MCMC

chapter 7|16 pages

Implementing MCMC

chapter 8|14 pages

Inference and monitoring convergence

chapter 10|26 pages

Hypothesis testing and model selection

chapter 11|14 pages

Model checking and model improvement

chapter 12|12 pages

Stochastic search variable selection

chapter 14|18 pages

Estimation and optimization of functions

chapter 15|16 pages

Stochastic EM: method and application

chapter 16|28 pages

Generalized linear mixed models

chapter 17|18 pages

Hierarchical longitudinal modelling

chapter 18|18 pages

Medical monitoring

chapter 19|20 pages

MCMC for nonlinear hierarchical models

chapter 20|22 pages

Bayesian mapping of disease

chapter 21|20 pages

MCMC in image analysis

chapter 22|18 pages

Measurement error

chapter 23|22 pages

Gibbs sampling methods in genetics