Lectures 2024 NUS Singapore
Lecture 1
Lecture 2
R-Manual for `pcalg' R-package
Lecture 3
Lecture 4
Lecture 5
Lecture 6
Lecture 7
Projects: 4 group projects with papers to read
Project 1: Bi-Cross-Validation for Factor Analysis Donwload paper
Project 2: Structure Learning in Graphical Models Donwload paper
Project 3: Invariant policy learning Donwload paper
Project 4: Invariant Risk Minimization and
DRIG Donwload paper 1 Donwload paper 2
- A group consists of about 4 people
- Turn in a written report: about 10 pages, one report per group
- Alternatively: you can come up with your own project which is
``vaguely related'' to the course. If you would like to do more empirical
work, you could also do a simulation study or a data analysis. In this
case, you could either work in a group or work individually.
Task: please e-mail to me the composition of a group: topic and names
of students; or if you work individually which topic/paper you would
like study
buhlmann@stat.math.ethz.ch