TA (repeat): Lorenzo Tomaselli ltomasel@andrew.cmu.edu

PRE-COURSE REVIEW:

    Sheather, Chapters 1,2,3
    Matrix Algebra Reciew

Week   Dates      Tentative Topics
                  Tentative Sources

Week 1 Aug 29, 31 Intro, Multiple Regression

                  Reading: Sheather Ch 5
		           ISLR 3.1, 3.2
		           G&H  CH 3  

Week 2 Sep 5 (no class1), Sep 7 Qualitative Predictors

                  Reading: ISLR 3.3.1, 3.3.2

                  (Diagnostics)

Week 3 Sep 12, 14 Diagnostics & Transformations

                  Reading: Sheather Ch 6
                           ISLR 3.3.3
                           G&H Ch 4

Week 4 Sep 19, 21 Variable Selection

                  Reading: Sheather Ch 7
		           ISLR Ch 6
			   G&H Ch 4

                  Project 1 assigned

Week 5 Sep 26, 28 Logistic Regression (& GAMs?)

                  Reading: Sheather, Ch 8
    		           G&H, Ch 5

Week 6 Oct 3, 5   Generalized Linear Models

                  Reading: Sheather, Ch 8
		           G&H, Ch 6, handouts

Week 7 Oct 10, 12 Nonparametric Regression & GAMs

                  Reading: ISLR Ch 7
		           Sheather Appx
			   handouts   
		  
                  Project 1 due

***************** FALL BREAK ********************************

Week 8 Oct 24, 26 Causal Reasoning
                  G&H Ch's 9&10

Week 9 Oct 31, Nov 2 Generalized Least Squares
		  Reading: Sheather Ch 9 (Ch 4?)


Week 10 Nov 7, 9  Multilevel and Mixed Effects Models
		  Reading: Intercepts: G&H Ch 12
		           Slopes: G&H, Ch 13 (skip or skim 13.3, 13.6 & 13.7)

                  MISSING: Residuals, Estimation and Model Selection
		  REading: G&H parts of Ch 18, Handouts

                  Project 2 assigned

Week 11 Nov 14, 16 Multilevel logistic regressions & GLMs
		  Reading: G&H parts of Ch’s 14 & 15

Week 12 Nov 21,   Residuals, Estimation and Model Selection
                  Handouts; stuff from G&H

                  NEW: Bayes, Shrinkage (but not raw simulation)
		  Reading: Lynch Ch 3, 4; G&H parts of Ch 16

Week 13 Nov 28, 30 Shrinkage, Examples
                  Lecture notes; handouts

                  NEW: STAN and MLM's
		  Reading: Lynch, Ch 9; G&H parts of Ch 17, handouts
		 
                  Project 2 due

Week 14 Dec 5, 7  Multilevel GLM’s, & maybe Bayesian Approaches
                  Lecture notes; handouts

                  NEW: MLM's with STAN
		  Reading: Handouts; maybe parts of G&H Ch’s 18, 21