Applied Bayesian Inference

Applied Bayesian Inference

Prefix: 
STA
Course Number: 
654

This course provides an introduction to Bayesian inference and a summary of Bayesian methods for fitting, assessing, and selecting models. Topics include Bayes' Rule and Probability, Binomial Models for Proportions, Poisson Models for Counts, Normal Models for Continuous Data, Linear Regression, Log-linear and Contingency Tables, Hierarchical Models, Hypothesis Testing, Model Comparison, and Selected Applications. Prereq: Graduate status in Master of Applied Statistics, STA 646, STA 648.

Sections

X
Enter your linkblue username.
Enter your linkblue password.
Secure Login

This login is SSL protected

Loading