STA 145 Bayesian Statistical Inference

Units: 4

Format:
Lecture: 3 hours
Laboratory: 1 hour

Catalog Description:
Subjective probability, Bayes Theorem, conjugate priors, non-informative priors, estimation, testing, prediction, empirical Bayes methods, properties of Bayesian procedures, comparisons with classical procedures, approximation techniques, Gibbs sampling, hierarchical Bayesian analysis, applications, computer implemented data analysis. 

Prerequisite: STA 130B or STA 131B

Summary of course contents:
Coming Soon

Restrictions:
None

GE3:
SE, QL

Potential Overlap:
None

History:
None