STAT 460
Bayesian Statistics
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.
Sources
- Course catalogue ↗2026-2027