University of Calgary

STAT 519 - Bayesian Statistics - Winter 2018

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

  • Completion of Statistics 421 is highly recommended as preparation for this course.

Prerequisite(s)

  • Statistics 323 or Mathematics 323; and Mathematics 267 or 277 or 353 or 381.

Antirequisite(s)

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

Sections

Powered by UNITIS. More features.

Get Course Information