StatisticsSTAT 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.)

Requirements

Prerequisite(s): STAT 205B or STAT 246, or by permission of instructor.

Credits

5

Instructor

The Staff, Athanasios Kottas, Abel Rodriguez, Rajarshi Guhaniyogi