Master
J'interviens dans
le
Master Mathématiques et applications de
l'Université de Paris.
- Spécialité «Ingénierie mathématique»
- Analyse de données, Master 1re année
(cours, TD)
- Statistique en grande dimension, Master 2e année (cours,
TD)
Support de cours sur
github:
A Ride in
Targeted Learning Territory (avec D. Benkeser).
Divers
- Spring School on
Causality (March 2023)
- with Caleb Miles
(Columbia University Mailman School of Public Health) and
Linda Valeri (Columbia University Mailman School of Public Health)
- A gentle introduction to causal reasoning (first set of
slides) here
- Lab 1 exercise sheet, potential outcomes and DAGs, here
- DAGs, do-operator, causal quantities (second set of
slides) here
- Introduction to mediation and interaction (third set of slides) here
- Special issue
on Causality of the Journal of the French Statistical
Society
- Lab 2 exercise sheet, concepts of
mediation, here
- An example of the use of the rules of do-calculus here
- Lab 2 exercise sheet, mediation analysis – software
application, here
- A ride in targeted learning territory
- Software
to Draw DAGs (A. Pitts and C. Fowler, Columbia University)
Contact
- Antoine Chambaz
MAP5 (736-O)
Université Paris Cité
45 rue des Saints-Pères
75270 Paris cedex 06
France
- Tél: 01 76 53 03 83
- antoine.chambaz«at»
u-paris«dot»fr