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