The booknbspaims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments.nbspExamples fromnbspbiology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS.