STA 290 Modern Statistical Data Analysis

 

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Date
Topic
Reading
Handouts
Assignment
Calendar Topics Subject to Change - Please Refresh your Browser
8/24
Introduction to Modern Statistical Data Analysis

R Intro

Chapter 1, Appendix A

8/26

Intro to R

Exploratory Data Analysis

see the computing page for additional R resources

emacs, ESS,

EDA Part 1 (R code)

8/31
Exploratory Data Analysis

 

9/2
Exploratory Data Analysis

See Computing page for

Including Graphs in LaTeX and example latex sources
9/4
Friday: Drop/Add Period Ends
9/7
Introduction to Bayesian Inference - Why Bayes?
Hoff Ch 1-2

Bayes Intro

9/9
Bayes Inference for Proportions
Hoff Ch 3
9/14

Bayesian Inference for
Exponential Families

Hoff Ch 3

Exponential
R-code

 

 

9/16
More on Prior Distributions

Hoff Ch 3

9/21

Monte Carlo Approximations

Hoff Ch 4

9/23

Normal Models

Hoff Ch 5
9/28
Predictive Distributions
Hoff Ch 4-5
9/30
Gibbs Sampling

Hoff Ch 6

10/5
Fall Break - No Class
10/7

Diagnostics

Hoff Ch 6

HW4
Due Friday 10/16
10/12

Mixture Models & WinBugs

Hoff Ch 6
10/14
Multivariate Normal
Hoff Ch 7
10/19

Multivariate Normal and NonConjugate Priors

Review

Hoff Ch 7

Midterm 08
key

R-code

10/21
Midterm
10/26
Missing Data and Imputation
Hoff Ch 7
10/28
Group Comparisons
and Hierachical Models
Hoff Ch 8

Bayes random effects

hsb.dat, R-code

11/2
Hierachical Models
Hoff Ch 8

Unequal Variances
R-code

11/4
Linear Regression
Hoff Ch 9

HW6

11/9

Multiple Regression

Hoff Ch 9

multiple regression

R-code

11/11
Model Choice
Hoff Ch 9

Variable Selection

R-code

11/16
Predictions with Hierarchical Models

 

Hoff Ch 11

Hierarchical Regression

hier.R

11/18
Logistic Regression
Hoff Ch 11
11/23

Hierarchical Logistic Regression

Poisson Regression

logistic-hier.R

Poisson

R code

africa.dat

 

11/26-12/7
Graduate Reading Period
12/12
Final Project Presentations Sat 2:00 - 5:00 pm



Updated
August 18, 2007