Teaching

Bayesian Statistical Methods, SDS 384.7

Course, The University of Texas at Austin, Statistics and Data Sciences, 2023

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.

Elements of Statistics, SDS 320E

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

Description

Introduction to statistics. Topics may include: probability; principles of observational study and experimental design; statistical models and inference, including the multiple linear regression model and one-way analysis of variance. R programming is introduced. Only one of the following may be counted: Statistics and Data Sciences 320E and 328M.

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.