Teaching

American University: Statistics 618/SPA 696 (Every FALL): Bayesian Statistics for Social and Biomedical Sciences

Semester: 

Fall

Offered: 

2018

Course Description
Principles and applications of modern statistical decision theory, with a special focus on Bayesian modeling, data analysis, inference, and optimal decision making. Prior and posterior; comparison of Bayesian and frequentist approaches, including minimax decision making and elementary game theory. Bayesian estimation, hypothesis testing, credible sets, and Bayesian prediction. Introduction to Bayesian computing software and applications to diverse fields. Grading: A-F only. Prerequisite: STAT-514 or permission of instructor.... Read more about American University: Statistics 618/SPA 696 (Every FALL): Bayesian Statistics for Social and Biomedical Sciences

Concordia University Workshop: Bayesian Hierarchical Modeling for the Social Sciences

Semester: 

Summer

Offered: 

2018

Description:
This course covers the theoretical and applied foundations of Bayesian statistical analysis with an emphasis on computational tools for Bayesian hierarchical models. We will discuss model checking, model assessment, and model comparison.... Read more about Concordia University Workshop: Bayesian Hierarchical Modeling for the Social Sciences