Content varies with each offering of the course. Past offerings have included such topics as random walks, Markov chains, Gaussian processes, empirical processes, Markov jump processes, and a short introduction to martingales, Brownian motion and stochastic integrals. Prerequisites: Math 309, (Math 493 or Math 3211).
Course Attributes: FA NSM; AR NSM; AS NSM
