STAT 517

Stochastic Modeling of Scientific Data
3.0 credits

Course Description

Covers Markov random fields; continuous-time Markov chains; birth-death and branching processes; and point processes and cluster models. Procedures for inference for these stochastic processes, including Likelihood methods and estimating equations. Prerequisite: STAT 516. Offered: W.

Current Time Schedule

Winter, 2023

SLN/Section Time Location Instructor
20793 A
Open

T Th 2:30PM - 3:50PM

T Th 2:30PM - 3:50PM

THO 135

THO 135

Abel Rodriguez

Apara Venkat