Calendar

Aug 27

Course intro, transformation

Ch 3
4.1–4.3
4.5

Sep 1

(no lecture Monday) Transformation and simple regression

Ch 5.1
Freedman Ch. 1

Sep 8

Multiple regression, geometric perspective

5.2
10.1–10.2
Freedman 2.3–2.4

Sep 15

Probability model for multiple regression, collinearity

HW #1 due Friday

10.3

Sep 22

Quiz review; Statistical inference

Quiz #1 Wednesday

6.1–6.2

Sep 29

Categorical variables as predictors

HW #2 due Friday

9.2 (skip 9.2.1)
9.3.1–2
9.4.1–3

Oct 6

ANOVA

Form project groups by Friday

Ch. 7 (skip 7.2.1)
9.1
9.2.1
10.4

Oct 13

Bootstrap

HW #3 due Friday

21.1–21.4 (skip 21.2.3)

Oct 20

Quiz review; Influential Observations, Diagnostics

Quiz #2 Wednesday

11.1–11.5 (skip 11.3.2)
11.7–11.8.2
12.1–12.2 (skip 12.1.1, 12.2.2)

Oct 27

Interpreting Models; Model Selection

13.2.2
22.1 (skip “Closer look at AIC”, “Closer Look at BIC”)

Nov 3

Shrinkage methods

HW #4 due Friday

13.2.3
James et al. 6.2 (skip “Bayesian interpretation”)

Nov 10

Logistic Regression

Project proposal due Friday

14.1

Nov 17

Binomial logistic model, polytomous outcomes, GLMs

Quiz #3 Wednesday

14

Nov 24

Thanksgiving Break (no lecture on Wed or Fri)

Dec 1

Nonlinear regression, regression trees

HW #5 due Friday

James et al. 7.1–7.4
7.7
8.1

Dec 8

RRR week

Dec 15

Final exam: Monday Dec 15, 11:30 am–2:30 pm PST.
Final projects due: 11:59 AM, Friday Dec 19