Publisher's Synopsis
Provides an introduction to a variety of computational algorithms which are used in likelihood and Bayesian inference. In this second edition, the author has expanded the treatment of many techniques to include recent developments and to describe applications in more detail. Topics include Monte Carlo methods, the EM algorithm, data augmentation te