STAT206B: Intermediate Bayesian Inference

Bayesian statistical methods for inference and prediction including: estimation; model selection and prediction; exchangeability; prior, likelihood, posterior, and predictive distributions; coherence and calibration; conjugate analysis; Markov Chain Monte Carlo methods for simulation-based computation; hierarchical modeling; Bayesian model diagnostics, model selection, and sensitivity analysis. Prerequisite(s): STAT 203. Enrollment is restricted to graduate students. Undergraduates may enroll by permission (STAT 131 and 132 have to be verified by the instructor directly with the student).

5 credits

Year	Fall	Winter	Spring	Summer
2023-24		Section 01 Juhee Lee (jle297)
2022-23		Section 01 Juhee Lee (jle297)
2021-22		Section 01 Juhee Lee (jle297)
2020-21		Section 01 Juhee Lee (jle297)

Comments

Formerly AMS 0206B

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