STAT 4502

Aims to provide students with a basic understanding of the probabilistic models and techniques underlying the most widely used classes of stochastic processes, such as Bernoulli processes, Poisson processes, renewal processes and Markov chains. The main focus is on modeling aspects, which are completed by a description of some popular algorithms for simulation using R.