Table of Contents

Part 1 Theory: foundations; principles; approximations, numerical methods, and computer programs; assessment of multivariate prior distributions: assessing the probability of nuclear war. Part 2 Models and applications: Bayesian inference in regression; Bayesian multivariate analysis of variance and covariance; Bayesian inference in classification and discrimination; a case study in applied Bayesian inference. Appendices: an encyclopedia article entitled "Bayes, Thomas"; a biographical note on Bayes's essay; the letter of submission of Bayes's essay to the Royal Society; Bayes's original essay.