Bayesian Statistical Methods, SDS 384.7

Course, The University of Texas at Austin, Statistics and Data Sciences, 2022

Description

  • Fundamentals of Bayesian inference in single and multi-parameter models for inference and decision making, including simulation of posterior distributions, Markov chain Monte Carlo methods, hierarchical models, and empirical Bayes models.

Prequisites

  • Graduate standing, and Statistics and Data Sciences 382, Mathematics 362K and 378K, or consent of instructor.