University of Calgary

STAT 519 - Bayesian Statistics - Winter 2020

Fundamentals of Bayesian inference, single and multiparameter models, hierarchical models, regression models, generalized linear models, advanced computational methods, Markov chain Monte Carlo.
This course may not be repeated for credit.

Hours

  • H(3-0)

Prerequisite(s)

  • Statistics 323; and Mathematics 267 or 277.

Antirequisite(s)

  • Credit for Statistics 519 and 619 will not be allowed.

Sections

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