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IHOP SEMINAR: The Bayesian Approach to Data Analysis



Institute for Health Outcomes and Policy Research invites you for the following Seminar.

 Wednesday, May 2, 11 AM – 12 PM CST.

Teaching and Learning Center, 4th Floor, 920 Madison Avenue

Title: The Bayesian Approach to Data Analysis

Presenter: Fridtjof Thomas, PhD, Associate Professor Division of Biostatistics, Department of Preventive Medicine, University of Tennessee Health Science Center

Abstract: What is Bayesian data analysis? What are the advantages and disadvantages of this approach? How can it be practically implemented? This seminar introduces the basic ideas underlying the Bayesian approach to data analysis by a fundamental example of statistical learning, shows the basic building blocks of that approach including the essential “mathematical machinery”, and elaborates on the feasibility of real world data analyses following the Bayesian approach.

Keywords: Statistical learning, Bayesian approach, probability, likelihood, prior distribution, posterior distribution, Bayes theorem, conjugate priors, sequential updating, statistical inference, predictive distributions.

Please mark your calendars. You may attend remotely through the Zoom link .

For further information, please contact:

Sajeesh Kumar, PhD

Institute for Health Outcomes and Policy

College of Graduate Health Sciences