Measurement Science and Technology · 2002 · 683 citations · 0 references
Natural SciencesMathematicsProbability TheoryStatistical ModelingStatisticsBayesian InferenceBayesian ModelingBayesian StatisticsMarkov Chain Monte CarloMonte Carlo MethodsMonte Carlo SimulationBayesian Markov Chain Monte CarloMarkov Chain Monte Carlo Inference
Peter Congdon's Bayesian Statistical Modelling is not a teaching textbook or introduction to Bayesian statistical modelling. Although the basics of Bayesian theory and Markov Chain Monte Carlo (MCMC) methods are briefly reviewed in the book, I think that one should already be familiar with those topics before using the book. Given that, the book can be very helpful to an applied statistician, as it is an excellent reference source for Bayesian models and literature.