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 |
|
Beta-Binomial 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 (Metropolis-Hastings & 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. |
|
| |
P-Values: interval testing and incoherence p-val paper |
|
| |
HW 4 Out .tex Rat Data Due Nov. 15 |
|
| |
Bayes Factors, Hypothesis testing, and p-valuesHW 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 |