An Introduction to Probabilistic Modeling

Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Shastic Processes, Bayesian Decision Theory and Information Theory.