EDMS787

Bayesian Inference and Analysis

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Prerequisite: EDMS779 or permission of the instructor. Credit only granted for: EDMS769B or EDMS787. Formerly: EDMS769B. Models and model fitting methods commonly used in Bayesian Inference, such as Markov Chain Monte Carlo methods (e.g., Gibbs, Metropolis Sampling), with applications within and beyond the social and behavioral sciences. Analytical and philosophical differences between Frequentist and Bayesian statistics will also be highlighted.

Spring 2024

Tracy Sweet

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Spring 2023

Tracy Sweet

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Past Semesters

Tracy Sweet

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Yang Liu

1 review
Average rating: 5.00

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.