Teaching

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.