Lectures

Lecture 1 (slides / handout)
- Chapter 1: all
- Chapter 2: sections 2.1, 2.2, 2.3, 2.4, 2.5, 2.6
- Carmichael & Marron (2018)
Lecture 2 (slides / handout)
- Chapter 3: sections 3.2, 3.3
- Chapter 7: sections 7.1, 7.2, 7.3, 7.4, 7.5, 7.7
Lecture 3 (slides / handout / R_code)
- Chapter 3: sections 3.4, 3.5
- Chapter 7: sections 7.10, 7.11
Lecture 4 (slides / handout)
- Chapter 3: sections 3.4, 3.6, 3.8
- Chapter 4: subsection 4.4.4
- Zou (2006)
Lecture 5 (slides / handout)
- Chapter 6: sections 6.1, 6.2, 6.3, 6.4, 6.6.1, 6.8
- Hjort & Glad (1995)
Lecture 6 (slides / handout)
- Chapter 5: sections 5.1, 5.2, 5.4, 5.5, 5.7
Lecture 7 (slides / handout)
- Chapter 8: section 8.7
- Chapter 9: sections 9.1, 9.2
Lecture 8 (slides / handout)
- Chapter 13: section 13.4
- Chapter 15: sections 15.1, 15.2, 15.3, 15.4
Lecture 9 (slides / handout)
- Chapter 10: sections 10.1, 10.2, 10.3, 10.4, 10.5, 10.10, 10.12.1
- notes on AdaBoost as forward stagewise additive modelling
Lecture 10 (slides / handout)
- Chapter 10: sections 10.9, 10.11
- Bühlmann & Yu (2003)
- Chen & Guestrin (2016)
Lecture 11 (slides / handout)
- Chapter 16: sections 16.1, 16.2
- Chapter 18: sections 18.1, 18.7
- Meinshauser & Bühlmann (2010)
Lecture 12 (slide