University of Calgary

STAT 519 - BAYESIAN STATISTICS - Fall 2002

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)

Notes

  • Statistics 421 is recommended.

Prerequisite(s)

  • Mathematics 323 or consent of the Division.
Syllabus

Sections

This course will be offered next in Winter 2009.
Powered by UNITIS. More features.

Get Course Information