| Week | Date | Topic | Handouts | Readings | HW |
|---|---|---|---|---|---|
| Week 1 | 27-Aug | No Lab | Install Rstudio and start CodeSchool'sTry R | ||
| 29-Aug | Course Introduction | slides | Read ISLR Chapters 1 | ||
| 31-Aug | Modelling Overview and Review of Regression | slides (Rmarkdown ) | Read ISLR Chapters 2-3 | ||
| Week 2 | 3-Sep | Lab 1: RStudio & EDA using Rmarkdown | Lab 1 Code | HW1 - see your invitation on the Assignment page in Sakai | |
| 5-Sep | Diagnostics | slides (Rmarkdown ) | ALR Ch 9 and Computing Primer ALR | Rmarkdown for next class | |
| 7-Sep | Transformations | slides (Rmarkdown ) | ALR Ch 7-9 | ||
| Week 3 | 10-Sep | Hypothesis Testing: Model Choice | slides (Rmarkdown ) | Read ISLR Chapters 3 and ALR Chapters 3-4 | |
| 12-Sep | Interpretation, Prediction /Confidence Intervals & AVP | slides (Rmarkdown ) | ALR Ch 3-4 | ||
| 14-Sep | Class Canceled Severe Weather Policy | ALR Ch 3-4 | See HW2_X in github after clicking link through Sakai | ||
| Week 4 | 17-Sep | Class Canceled Severe Weather Policy | |||
| 19-Sep | Lab 2: Added Variable Plots and more | See Lab2 in your github team page | See HW2_X in github after after viewing assignment HW2 in Sakai | ||
| 21-Sep | Logistic Regression | slides (Beamer) (Seeds data) | Read ISLR Chapters 4 & GH Chapter 5, termplots | ||
| Week 5 | 24-Sep | Lab 3: Logistic Regression, Teams, GitHub and Wercker | See lab3_W5_TEAM_X in github | werker video from STA523 | See hw3_W5_Team_X for your Team in github |
| 26-Sep | Analysis of a Deviance in Logistic Regression | slides (Beamer) | GH Chapter 6 | ||
| 28-Sep | Residuals, Model Building and Interactions | slides (Beamer) | GH Chapter 5-6 | ||
| Week 6 | 1-Oct | Lab 4: Interactions, Interpretations and Midterm Review | |||
| 3-Oct | Poisson Regression and Lack of Fit | slides (Rmarkdown files) | |||
| 5-Oct | Midterm 1 | Material through Oct 2 | |||
| Week 7 | 8-Oct | Fall Break | |||
| 10-Oct | Lab 5: Simulations and Predictive Comparisons | See Lab5 in your Team Repo | ISLR CH 5 & GH 7-8 | See HW4-W7-Team-X in your github team page | |
| 12-Oct | Negative Binomial Model and Predictive Checks | slides (Rmarkdown files) | ISLR Chapter 5 G&H 6-8 | ||
| Week 8 | 15-Oct | Out of Sample Validation | slides (Rmarkdown ) | ISLR Chapter 5 | |
| 17-Oct | Model Selection | slides (Rmarkdown ) | ISLR Chapter 6 | ||
| 19-Oct | Bayesian Regression | slides (Beamer ) | See HW5_W8_Team_X in your github team page | ||
| Week 8 | 22-Oct | Lab 6: Variable Selection | Lab6 | ||
| 24-Oct | Priors for Regressions | slides (Beamer ) | |||
| 26-Oct | Bayesian Variable Selection & Model Averaging | slides (Beamer ) | Liang et al 2008 JASA | ||
| Week 9 | 29-Oct | Lab 7: Q & A for HW, Introduction to BAS | (RMarkdown ) | BAS Vignette | |
| 31-Oct | BMA | slides (Beamer ) | BAS Vignette Hoeting et al 1999, Stat Sci , Clyde & George 2004 (Stat. Sci.), Liang et al 2008 JASA | ||
| 2-Nov | BMA & MCMC | slides (html) (Rmarkdown Notebook ) | Bayes Supplement Chapter 7-8 | See HW6_W10_Team_X in your github team page | |
| Week 10 | 5-Nov | Lab 8: Ridge Regression & Lasso Demo in R (plus HW disc) | Lab8 | ||
| 7-Nov | Penaliized Regression: Ridge Regression | slides (Beamer ) | ISLR Chapter 6 | ||
| 9-Nov | Lasso & Generalizations | slides (Beamer ) | Generalized Beta Mixtures of Gaussians , Regression with t-errors | ||
| Week 11 | 12-Nov | Lab 9: Generalized Ridge Regression and JAGS | Horseshoe and Other Shrinakage Estimators | ||
| 14-Nov | Trees | slides (Beamer ) | |||
| 16-Nov | Forests | slides (Beamer ) | ISLR Chapters 5 & 8, BART | ||
| Week 13 | 19-Nov | Lab 10: Trees, Forests, Boosting & BART | |||
| 21-Nov | Graduate Reading Period | Thanksgiving | |||
| 23-Nov | Graduate Reading Period | Thanksgiving | |||
| Week 14 | 26-Nov | Review & Final Project Discussion | Daily Leader Board Scores For Test Data/a> | ||
| 28-Nov | Midterm II | ||||
| 30-Nov | Generalized Additive Models | slides (Beamer and R ) | ISLR 7 | ||
| Week 15 | 3-Dec | Lab 11: Team Meetings | |||
| 5-Dec | Ensemble Methods | slides, h2o example code,Paper | |||
| 7-Dec | Support Vector Machines & BARK | slides, bark/svm example code bark/svm example | |||
| 7-Dec | Write up for Project Part I Due by 5pm | ||||
| 11-Dec | Write up for Project Part II and Slides Due by 5pm | ||||
| Final | 12-Dec | Project Presentations 9am to noon in usual classroom | |||
| Other Material | Robustness | slides (Beamer ) | |||
| Random and Mixed Effects | slides (Beamer , R and Fish Data ) |