EDMS787

Bayesian Inference and Analysis

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.

Past Semesters

Tracy Sweet

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Tracy Sweet

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Yang Liu

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Tracy Sweet

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Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.69 between 54 students*

A-: 3.7%

A: 57.41%

A+: 12.96%

B-: 3.7%

B: 1.85%

C: 1.85%

W: 3.7%

other: 14.81%

* "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.