Markov chain Monte Carlo in practice / edited by W.R Gilks, S. Richardson and D.J. Spiegelhalter
Imprint
London : Chapman & Hall, 1996
Edition
1st ed
Descript
xvii, 486 p : ill ; 25 cm
CONTENT
Introducting Markov Chain Monte Carlo -- Hepatitis B: a case study in MCMC methods -- Strateging for improving MCMC -- Inference and monitoring convergence -- Bayesian model comparison via jump diffusions -- Medical monitoring -- Bayesian mapping of disease -- Mixtures of distributions: inference and estimation -- An archaeological example: radiocarbon dating