Applied Bayesian Inference

Instructor:
Anna Smith
654
Credits:
3.0
201
Building:
TBD
Room:
TBD
Semester:
Spring 2025
Start Date:
End Date:
Name:
Applied Bayesian Inference
Requisites:

Prereq: Graduate status in Master of Applied Statistics, STA 646, STA 648.

Class Type:
LEC
TBD
TBD
Days:
TBD
Note:
Enrollment is limited to students enrolled in the Master of Applied Statistics (Online) Program. Please contact stat-dgs@uky.edu for registration information.

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.

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.

STA