Statistics (STAT) Courses>Bayesian Statistics

STAT460 - Bayesian Statistics

Description

Bayesian modelling, prior distributions; Jeffreys prior, posterior distributions, single and multi-parameter models; Bayesian point and interval estimation; Bayes factors and point null hypothesis testing; Bayesian computation; decision theory. Other topics may include: hierarchical modeling, Bayesian model selection.

Units

1.5

Hours: lecture-lab-tutorial

3-0-0

Cross-listed courses

STAT560 - Bayesian Statistics

Note(s)

  • Credit will be granted for only one of STAT 460, STAT 454 (if taken in the same topic).
  • May be offered as a joint undergraduate and graduate class.

Prerequisites

  • Complete all of:
    • STAT350 - Mathematical Statistics I (1.5)
  • or permission of the department.

Course offered by

Department of Mathematics and Statistics

Course schedules

Summer timetable available: February 15. Fall and Spring timetables available: May 15.

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