Course Schedule
Course Schedule
Date  Readings  Topic of Class 
Aug 26 
Hoff Chapter 1 
Introduction/History. 
28 
When did Bayesian inference become Bayesian: Fienberg 
What is probability?; Confidence Intervals and their correct interpretation. 
28 

HW 0 Out (Due Monday Sept. 4) LaTeX

30 

Introduction to Bayesian Statistics

4 

BetaBinomial Simulation

Sept. 6 
Chapter 3 Hoff 
Transformations HW 1 Out (Due Sept. 18) HW 1 Supplement .tex

None 
The Normal Posterior. 


The Normal Posterior. Flat Priors and beyond 

None 
Coverage verses Confidence 



Predictive distributions: normal case. 

Poisson posterior under the Gamma prior. 


HW 2 Out .texDue Oct 4 


Poisson predictive distribution. 


Announcement: Midterm on Nov. 4 (in class) 


Jeffreys' Prior 


Begin MCMC (MetropolisHastings & Gibbs) 

Oct 14 

Gibbs Sampling 
Oct 14 

HW 3 Out  Due Oct. 25.tex 

Metropolis Hasting truncated normal proposal notes 


The Precision Matrix and Conditional Independence 


Gelfand and Smith 


Wishart Distributions, Covariance Estimation, Random Effect Models. 


PValues: interval testing and incoherence pval paper 


HW 4 Out .tex Rat Data Due Nov. 15 


Bayes Factors, Hypothesis testing, and pvaluesHW 5 Out  Due Dec. 2 .tex 

Xtra Credit 

Behrens Fisher Example CodeBehrens Fisher Extra Credit Assinment (Due at Final Exam) 
Dec. 5 
Homework 6 
HW 6 Out Due @ Final Exam (Dec. 16 @ 7:45AM). .tex 
Dec. 5 
HW6 Regression Data 
Model1_5444 Model2_5444 Model3_5444 