Abstract: Introduction to statistical inference - parametric and Bayesian Nonparametric Bayesian inference Prior distributions - probability distributions on the space of probability distributions Posterior distributions Techniques to define such priors and obtain posterior distributions Markov Chain Monte Carlo Applications to a reliability problem.