Previously published: London : Chapman & Hall, 1996. Includes bibliographical references and index.

Introducing Markov chain Monte Carlo / W.R. Gilks, S. Richardson and D.J. Spiegelhalter -- Hepatitis B : a case study in MCMC methods / D.J. Spiegelhalter [and others] -- Markov chain concepts related to sampling algorithms / G.O. Roberts -- Introduction to general state-space Markov chain theory / L. Tierney -- Full conditional distributions / W.R. Gilks -- Strategies for improving MCMC / W.R. Gilks and G.O. Roberts -- Implementing MCMC / A.E. Raftery and S.M. Lewis -- Inference and monitoring convergence / A. Gelman -- Model determination using sampling-based methods / A.E. Gelfand -- Hypothesis testing and model selection / A.E. Raftery -- Model checking and model improvement / A. Gelman and X.-L. Meng -- Stochastic search variable selection / E.I. George and R.E. McCulloch -- Bayesian model comparison via jump diffusions / D.B. Phillips and A.F.M. Smith -- Estimation and optimization of functions / C.J. Geyer -- Stochastic EM : method and application / J. Diebolt and E.H.S. Ip -- Generalized linear mixed models / D.G. Clayton -- Hierarchical longitudinal modeling / B.P. Carlin -- Medical monitoring / C. Berzuini -- MCMC for nonlinear hierarchical models / J.E. Bennett, A. Racine-Poon and J.C. Wakefield -- Bayesian mapping of disease / A. Mollié -- MCMC in image analysis / P.J. Green -- Measurement error / S. Richardson -- Gibbs sampling methods in genetics / D.C. Thomas and W.J. Gauderman -- Mixtures of distributions : inference and estimation / C.P. Robert -- An archaeological example : radiocarbon dating / C. Litton and C. Buck.