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QMMS 787

Bayesian Inference and Analysis

3 Credits

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.

Prerequisites & course information

Prerequisite: QMMS779 or permission of the instructor. Credit Only Granted for: EDMS787 or QMMS787 . Formerly: EDMS787.

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