PSTAT 215A - Bayesian Inference

Fundamentals of the Bayesian inference, including the likelihood principle, the discrete version of Bayes theorem, prior and posterior distributions, Bayesian point and interval estimations, and predictions. Bayesian computational methods such as Laplacian approximations and Markov Chain Monte Carlo (MCMC) simulation.

Prerequisites: PSTAT 207A or PSTAT 220A (may be taken concurrently).

PSTAT 215A

31 / 30 Full

Bayesian Inference

Alexander Franks 5.0

M W

11:00 AM - 12:15 PM

89.6% A