STAT207: Intermediate Bayesian Statistical Modeling

Hierarchical modeling, linear models (regression and analysis of variance) from the Bayesian point of view, intermediate Markov chain Monte Carlo methods, generalized linear models, multivariate models, mixture models, hidden Markov models.

5 credits

Year	Fall	Winter	Spring	Summer
2023-24			Section 01 Richard Li (zli439)
2022-23			Section 01 Richard Li (zli439)
2021-22			Section 01 Richard Li (zli439)
2020-21			Section 01 Bruno Sansó (bsanso)
2019-20			Section 01 Bruno Sansó (bsanso)

Comments

Formerly AMS 0207

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