Here you will find handouts, reading and homework assignments for the semester. Please Refresh often as calendar is subject to change.
| Date | Topic | Handouts | Readings | Assignments |
|---|---|---|---|---|
| 1/13 | Overview of Course Review of Probability Bayes Theorem |
Hoff Chapter 1-2. |
download and intall R and WinBugs -- see computing page | |
| 1/19 | Lab: Introduction to using R | Lab 1 (data) | HW1 |
|
| 1/20 | ||||
| 1/14 | Bayes Theorem for Random Variables | Lee Ch 2 | ||
| 1/19 | MLK Day No Class | |||
| 1/20 | Lab: Random Variables in R | Lab 2 | ||
| 1/21 | Bayesian Inference in the Normal Distribution | Calculations in R | Lee Ch 2 | |
| 1/26 | Normal Variance Normal Mean and Variance Unknown |
Lee Ch 2 | ||
| 1/27 | Lab: Writing Functions in R | |||
| 1/28 | Marginal Distribution of Mean SPF Example Change of Variables |
Notes |
Lee Ch2 | |
| 2/2 | HPD regions and Credible Intervals | HPD.R | Lee Ch 2 | |
| 2/3 | Lab: Loops | Lab 4 | ||
| 2/4 | HPD Intervals for Variances |
|
Lee Ch 2 | |
| 2/9 | Binomial | Lee Ch 3 | ||
| 2/10 | Lab: R Review | |||
| 2/11 | Reference Priors | Lee Ch 3 | ||
| 2/16 | Poisson, Pareto... | Poisson.R | Lee Ch 3 | |
| 2/17 | Lab: Simulations and using the coda Package for HPD | Lab 5 | ||
| 2/18 | Classical Hypothesis Testing | Lee Ch 4 | ||
| 2/23 | Normal Hypothesis Testing | |||
| 2/24 | Lab: p-values | |||
| 2/25 | Normal Hypothesis Testing (unknown variance) | Lee Ch 4 & Ch 5 | ||
| 3/2 | Clas Canceled - SNOW |
|
Lee Ch 4 | |
| 3/3 | Lab: BF in R | |||
| 3/4 | Comparing 2 Proportions/ 2 Normal Populations |
Bayes Factor II | Lee Ch 4-5 | |
| 3/16 | Regression | Bodyfat Example R Code Bodyfat Data |
Lee Ch 6 | |
| 3/17 | Lab: Regression in R | see Intro to R | ||
| 3/18 | Distribution of Residuals | |||
| 3/23 | Bayesian Residuals | |||
| 3/24 | Lab: Review | 2008 Midterm | ||
| 3/25 | Midterm | |||
| 3/30 | Robust Regression: MCMC & Gibbs Sampling | Robust Regression | Lee Ch 9, JRSS B West |
|
| 3/31 | Lab: Writing a Gibbs Sampler | Lee Ch 9 | ||
| 4/1 | Robust Regression: MCMC & Gibbs Sampling |
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| 4/6 | Midterm review | |||
| 4/7 | Lab: Gibbs Sampling | Using R2WinBugs | ||
| 4/8 | Robust Regression Logistic Regression |
snp-logistic (directory) |
HW5 | |
| 4/13 | Hierarchical Models |
snp-hier (directory) |
Lee Ch 8 | |
| 4/14 | Lab: CODA | Diagnostics | ||
| 4/15 | Hierarchical Models | |||
| 4/20 | Model Uncertainty | BMA.R | BAS package | |
| 4/22 | Model Uncertainty | |||
| 4/29 | Final Project Presentations 7-10 pm | Guidelines |