The tenth edition of the IN2P3 School Of Statistics will be held from Monday, June 1 to Friday, June 5 2026 in Aussois (Savoie).
The school combines lectures and hands-on sessions with (online) Jupyter notebooks. All lectures will be given in English.
The School Of Statistics is supported by CNRS/IN2P3.
Programme
Courses and hands-on sessions (get ready !)
- Basic concepts of statistics: Romain Madar (LPCA, Clermont-Ferrand)
- Classical interval estimation, limits, systematics and beyond: Lydia Brenner (CERN) and Nicolas Berger (LAPP, Annecy)
- Introduction to machine learning: Vincent Barra (UCA, Clermont-Ferrand) and Yann Coadou (CPPM, Marseille)
- Bayesian statistics and sampling techniques: Florian Ruppin (Université Lyon 1 - IP2I) and Cyrille Doux (LPSC, Grenoble)
- Introduction to deep learning: Florian Ruppin (Université Lyon 1 - IP2I)
- Simulation based inference: Cyrille Doux (LPSC, Grenoble)
The school will also feature a discussion on the ethical/environmental aspects of AI (Steven Schramm, Unige), a mini-hackathon and a presentation about foundation models (François Lanusse, CEA Saclay).
Registration fees
- CNRS employees (ie directly paid by CNRS): 0€
- PhD students in a IN2P3 lab: 300€
- All other participants: 900€
Full board (housing, meals, breaks) is included in your fee from May 31 (dinner) to June 5 (lunch).
Organizing Committee
Johan Bregeon (LPSC, Grenoble), Yann Coadou (CPPM, Marseille), Sabine Crépé-Renaudin (LPSC, Grenoble), Cyrille Doux (LPSC, Grenoble, chair), Giulio Dujany (IPHC, Strasbourg), Leïla Haegel (IP2I, Lyon), Emille Ishida (LPCA, Clermont-Ferrand), Romain Madar (LPCA, Clermont-Ferrand), Guillaume Mention (CEA/IRFU, Saclay), David Rousseau (IJCLab, Orsay)
Administrative Support
Françoise Petiot / Cécile Martin (LPSC, Grenoble)
