Name: IN2P3 School of Statistics 2024
Start: 2024-05-13T08:00:00+02:00
End: 2024-05-17T18:00:00+02:00
Location: Carry-le-Rouet

IN2P3 School of Statistics 2024

de lundi 13 mai 2024 (08:00) à vendredi 17 mai 2024 (18:00)

lundi 13 mai 2024

09:00 Arrival
Arrival
09:00 - 12:30

12:30 Lunch
Lunch
12:30 - 13:55
13:55 Welcome - Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
Welcome
- Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
13:55 - 14:00
14:00 Basic concepts of statistics - Part I - Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
Basic concepts of statistics - Part I
- Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
14:00 - 15:30
15:30 Break
Break
15:30 - 16:00
16:00 Basic concepts of statistics - Part II - Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
Basic concepts of statistics - Part II
- Romain Madar (Laboratoire de Physique Corpusculaire de Clermont-Ferrand (LPC))
16:00 - 17:30
20:00 Dinner
Dinner
20:00 - 21:30
mardi 14 mai 2024
09:00 Classical interval estimation, limits, systematics and beyond - Part I - Adinda DE WIT (LLR)
Classical interval estimation, limits, systematics and beyond - Part I
- Adinda DE WIT (LLR)
09:00 - 10:30
10:30 Break
Break
10:30 - 11:00
11:00 Classical interval estimation, limits, systematics and beyond - Part II - Adinda DE WIT (LLR)
Classical interval estimation, limits, systematics and beyond - Part II
- Adinda DE WIT (LLR)
11:00 - 12:30
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Hands-on: statistics - Adinda DE WIT (LLR)
Hands-on: statistics
- Adinda DE WIT (LLR)
14:00 - 15:30
15:30 Break
Break
15:30 - 16:00
16:00 Hands-on: statistics - Adinda DE WIT (LLR)
Hands-on: statistics
- Adinda DE WIT (LLR)
16:00 - 17:30
20:00 Dinner
Dinner
20:00 - 21:30
mercredi 15 mai 2024
09:00 Introduction to machine learning - Vincent Barra (UCA)
Introduction to machine learning
- Vincent Barra (UCA)
09:00 - 10:30
10:30 Break
Break
10:30 - 11:00
11:00 Boosted decisions trees & performance metrics - Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
Boosted decisions trees & performance metrics
- Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
11:00 - 12:30
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Hands-on: Introduction to machine learning tools - David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay)
Hands-on: Introduction to machine learning tools
- David Rousseau (IJCLab, CNRS/IN2P3, Université Paris-Saclay)
14:00 - 15:30
15:30 Free
Free
15:30 - 20:00

20:00 Dinner
Dinner
20:00 - 21:30
jeudi 16 mai 2024
09:00 Bayesian inference with Markov chains - Leïla Haegel (IP2I Lyon)
Bayesian inference with Markov chains
- Leïla Haegel (IP2I Lyon)
09:00 - 10:30
10:30 Break
Break
10:30 - 11:00
11:00 Introduction to deep learning - Florian Ruppin (Université Lyon 1 - IP2I)
Introduction to deep learning
- Florian Ruppin (Université Lyon 1 - IP2I)
11:00 - 12:30
12:30 Lunch
Lunch
12:30 - 14:00
14:00 Hands-on: deep learning - Florian Ruppin (Université Lyon 1 - IP2I)
Hands-on: deep learning
- Florian Ruppin (Université Lyon 1 - IP2I)
14:00 - 15:30
15:30 Break
Break
15:30 - 16:00
16:00 Advanced deep learning - Tobias Golling (University of Geneva)
Advanced deep learning
- Tobias Golling (University of Geneva)
16:00 - 17:30
20:00 Social dinner
Social dinner
20:00 - 21:30
vendredi 17 mai 2024
09:00 Unfolding - Philippe Gras (CEA Saclay IRFU)
Unfolding
- Philippe Gras (CEA Saclay IRFU)
09:00 - 10:30
10:30 Break
Break
10:30 - 10:55
10:55 Simulation based inference - Cyrille Doux (LPSC)
Simulation based inference
- Cyrille Doux (LPSC)
10:55 - 12:25
12:25 Farewell - Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
Farewell
- Yann Coadou (CPPM, Aix-Marseille Université, CNRS/IN2P3)
12:25 - 12:30
12:30 Lunch
Lunch
12:30 - 13:45

13:45 Departure
Departure
13:45 - 15:15

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