Bayes Theory by J. A. Hartigan provides a rigorous mathematical foundation for Bayesian statistical inference. The book develops probability theory from a Bayesian perspective and explores conditional probability, decision theory, and asymptotic behavior of posterior distributions. It also addresses advanced topics such as improper priors, convergence, and nonparametric Bayesian methods. This w…