MATH 656 Bayesian Methods and Linear Mixed Models

Covers Bayesian analysis with Markov Chain Monte Carlo (MCMC) methods and linear mixed models. These statistical methods will be applied to examples using a statistical computing language. Prerequisite: MATH 620 or DSCI 602 or permission of the department chairperson.

Credits

4