University of Calgary

STAT 619 - 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)

  • Admission to a graduate program in Mathematics and Statistics or consent of the Department.

Antirequisite(s)

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

Sections

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