Stochastic Modeling of Scientific Data I

4 credits

Covers discrete-time Markov chain theory; inference for discrete-time Markov chains; Monte Carlo methods; missing data; hidden Markov models; and Gaussian Markov random fields. Prerequisite: either STAT 342, MATH 396/STAT 396, or STAT 391. Offered: A.