Statistics
STAT 243 Stochastic Processes
Includes probabilistic and statistical analysis of random processes, continuous-time Markov chains, hidden Markov models, point processes, Markov random fields, spatial and spatio-temporal processes, and statistical modeling and inference in stochastic processes. Applications to a variety of fields. (Formerly AMS 263.)
Instructor
Robert Lund, Athanasios Kottas, The Staff