## Applied Bayesian Statistics

STAT 6350 - **Applied Bayesian Statistics**: an introduction to theory and methods of the Bayesian approach to statistical inference and data analysis. Covers components of Bayesian analysis (prior, likelihood, posterior), computational algorithms, and philosophical
differences among various schools of statistical thought.

2021

Introduction to Bayesian Statistics

Jan 13

Frequentist Inference

Jan 18

Bayesian Inference for the Binomial Model

Jan 25

Bayesian Inference for the Poisson Model

Feb 08

Monte Carlo Sampling

Feb 15

Bayesian Inference for the Normal Model

Feb 22

The Normal Model in a Two Parameter Setting

Mar 15

Metropolis-Hastings Algorithms

Mar 22

Hierarchical Models

Mar 29

Bayesian Linear Regression

Apr 05

Penalized Linear Regression and Model Selection

Apr 12

Bayesian Generalized Linear Models

Apr 19

A Bayesian Perspective on Missing Data Imputation

Apr 26