Bayesian Statistical Modelling provides a comprehensive introduction to the theory and practice of Bayesian inference, particularly as applied to hierarchical and complex models. Peter Congdon presents a wide array of real-world applications using Bayesian methods, emphasizing computational techniques such as Markov Chain Monte Carlo (MCMC). The book is well-suited for statisticians and researc…