Also: STAT 460
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.
- Credit will be granted for only one of STAT 460, STAT 454 (if taken in the same topic), STAT 560, STAT 556 (if taken in the same topic).
- May be offered as a joint undergraduate and graduate class.
Graduate course in the Statistics program offered by the Faculty of Graduate Studies.