Class: Applied Bayesian Data Analysis

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Date/Time
Date(s) - 10/21/2016 - 10/22/2016
All Day

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This Statistical Horizons course, Applied Bayesian Data Analysis, taught by Scott Lynch, Ph.D., runs from October 21-22 in Philadelphia, Pennsylvania.

This seminar provides a detailed introduction to applied Bayesian statistics. The course begins with a brief review of the “classical” statistical approach involving maximum likelihood methods. The seminar will then develop the Bayesian approach. First, Bayes’ Theorem is introduced with a hypothetical example, which is extended to illustrate Bayes’ Theorem for probability distributions, including the concepts of “prior” and “posterior distributions.”

The seminar will then present a few simple examples using real data, contrasting the classical approach with the Bayesian approach and showing how results are presented and interpreted in the Bayesian paradigm using summaries of the posterior distribution. Finally, the seminar will show the derivation of posterior distributions for some standard, basic models in order to illustrate the algebra and calculus required to complete Bayesian analyses.

The fee of $995 includes all course materials.

 

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