A First Course in Bayesian Statistical Methods - Hoff, Peter D. (London ; New York : Springer, 2009)
Introduction and examples -- belief, probability and exchangeability -- One-parameter models -- Monte Carlo approximation -- the normal model -- Posterior approximation with the Gibbs sampler -- the multivariate normal model -- Group comparisons and hierarchical modeling -- Linear regression -- Nonconjugate priors and Metropolis-Hastings algorithms -- Linear and generalized linear mixed effects models -- Latent variable methods for ordinal data.
Keywords: Bayesian statistical decision theory; Social sciences -- Statistical methods; Statistique bayésienne.; Methode van Bayes; Bayes-Verfahren.