IN2P3 School of Statistics 2024
from
Monday, May 13, 2024 (8:00 AM)
to
Friday, May 17, 2024 (6:00 PM)
Monday, May 13, 2024
9:00 AM
Arrival
Arrival
9:00 AM - 12:30 PM
12:30 PM
Lunch
Lunch
12:30 PM - 1:55 PM
1:55 PM
Welcome
-
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
Welcome
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
1:55 PM - 2:00 PM
2:00 PM
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)
)
2:00 PM - 3:30 PM
3:30 PM
Break
Break
3:30 PM - 4:00 PM
4:00 PM
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)
)
4:00 PM - 5:30 PM
8:00 PM
Dinner
Dinner
8:00 PM - 9:30 PM
Tuesday, May 14, 2024
9:00 AM
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
)
9:00 AM - 10:30 AM
10:30 AM
Break
Break
10:30 AM - 11:00 AM
11:00 AM
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 AM - 12:30 PM
12:30 PM
Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM
Hands-on: statistics
-
Adinda DE WIT
(
LLR
)
Hands-on: statistics
Adinda DE WIT
(
LLR
)
2:00 PM - 3:30 PM
3:30 PM
Break
Break
3:30 PM - 4:00 PM
4:00 PM
Hands-on: statistics
-
Adinda DE WIT
(
LLR
)
Hands-on: statistics
Adinda DE WIT
(
LLR
)
4:00 PM - 5:30 PM
8:00 PM
Dinner
Dinner
8:00 PM - 9:30 PM
Wednesday, May 15, 2024
9:00 AM
Introduction to machine learning
-
Vincent Barra
(
UCA
)
Introduction to machine learning
Vincent Barra
(
UCA
)
9:00 AM - 10:30 AM
10:30 AM
Break
Break
10:30 AM - 11:00 AM
11:00 AM
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 AM - 12:30 PM
12:30 PM
Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM
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
)
2:00 PM - 3:30 PM
3:30 PM
Free
Free
3:30 PM - 8:00 PM
8:00 PM
Dinner
Dinner
8:00 PM - 9:30 PM
Thursday, May 16, 2024
9:00 AM
Bayesian inference with Markov chains
-
Leïla Haegel
(
IP2I Lyon
)
Bayesian inference with Markov chains
Leïla Haegel
(
IP2I Lyon
)
9:00 AM - 10:30 AM
10:30 AM
Break
Break
10:30 AM - 11:00 AM
11:00 AM
Introduction to deep learning
-
Florian Ruppin
(
Université Lyon 1 - IP2I
)
Introduction to deep learning
Florian Ruppin
(
Université Lyon 1 - IP2I
)
11:00 AM - 12:30 PM
12:30 PM
Lunch
Lunch
12:30 PM - 2:00 PM
2:00 PM
Hands-on: deep learning
-
Florian Ruppin
(
Université Lyon 1 - IP2I
)
Hands-on: deep learning
Florian Ruppin
(
Université Lyon 1 - IP2I
)
2:00 PM - 3:30 PM
3:30 PM
Break
Break
3:30 PM - 4:00 PM
4:00 PM
Advanced deep learning
-
Tobias Golling
(
University of Geneva
)
Advanced deep learning
Tobias Golling
(
University of Geneva
)
4:00 PM - 5:30 PM
8:00 PM
Social dinner
Social dinner
8:00 PM - 9:30 PM
Friday, May 17, 2024
9:00 AM
Unfolding
-
Philippe Gras
(
CEA Saclay IRFU
)
Unfolding
Philippe Gras
(
CEA Saclay IRFU
)
9:00 AM - 10:30 AM
10:30 AM
Break
Break
10:30 AM - 10:55 AM
10:55 AM
Simulation based inference
-
Cyrille Doux
(
LPSC
)
Simulation based inference
Cyrille Doux
(
LPSC
)
10:55 AM - 12:25 PM
12:25 PM
Farewell
-
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
Farewell
Yann Coadou
(
CPPM, Aix-Marseille Université, CNRS/IN2P3
)
12:25 PM - 12:30 PM
12:30 PM
Lunch
Lunch
12:30 PM - 1:45 PM
1:45 PM
Departure
Departure
1:45 PM - 3:15 PM