Applied Bayesian Data Analysis

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Date(s) - 11/03/2017 - 11/04/2017
9:00 am - 5:00 pm


This introductory course, taught by Dr. Jeff Gill, covers the theoretical and applied foundations of basic Bayesian statistical analysis with an emphasis on computational tools for Bayesian hierarchical models. We will discuss model checking, model assessment, and model comparison. The course will cover Bayesian stochastic simulation (Markov Chain Monte Carlo) in depth. We will fit linear and nonlinear specifications with multiple levels, longitudinal features, and non-normal distributional assumptions. Lectures will include theoretical discussions of modeling and estimation as well as practical guidance for fitting Bayesian multilevel models with software. Applications will be drawn from the social and biomedical sciences.

The course will also include practical knowledge in how to use and implement the material learned in work, educational and societal settings. It is intended for quantitative researchers in business, governments and academia who would like exposure to the Bayesian methods. A basic understanding of calculus principles and matrix algebra would be helpful in understanding the course.

The course that spans over a two day period has an early registration price of $895, which will end on September 28. To register now please click HERE.

For more information about the course and where it is located, please visit the course webpage HERE.

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