Date(s) - 11/02/2018 - 11/03/2018
9:00 am - 5:00 pm
Temple University Center City
This introductory course 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.
This is an applied course, but it covers the statistical theory necessary for understanding the methods, and therefore includes discussion of required mathematical statistics for Bayesian inference.
This seminar is designed for quantitative researchers in business, government, and academia who would like exposure to Bayesian methods and the suite of tools to estimate Bayesian regression-style models. Participants should have a good foundation in basic statistics including linear and nonlinear regression.
The course does have a fee of $995, which includes all the course material. There is a early registration fee available until September 26. CLICK HERE to register for the course.
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