Name: Terascale Statistics School 2025
Start: 2025-02-24T10:00:00+01:00
End: 2025-02-28T14:00:00+01:00
Location: DESY Hamburg

Terascale Statistics School 2025

from Monday 24 February 2025 (10:00) to Friday 28 February 2025 (14:00)

Monday 24 February 2025

12:30 Registration
Registration
12:30 - 13:15
Room: Seminarraum 4a/b
13:15 Welcome - Andreas Hinzmann (CMS (CMS Fachgruppe Searches)) Olaf Behnke (CMS (CMS Fachgruppe TOP))
Welcome
- Andreas Hinzmann (CMS (CMS Fachgruppe Searches))
- Olaf Behnke (CMS (CMS Fachgruppe TOP))
13:15 - 13:20
Room: Seminarraum 4a/b
13:20 Basics (Probabilities, Distributions, CLT) - Roger Barlow (Huddersfield)
Basics (Probabilities, Distributions, CLT)
- Roger Barlow (Huddersfield)
13:20 - 15:00
Room: Seminarraum 4a/b Lectures + Discussions
15:00 Coffee Break
Coffee Break
15:00 - 15:30
Room: Seminarraum 4a/b
15:30 Hypothesis Testing - basics - Glen Cowan (RHUL)
Hypothesis Testing - basics
- Glen Cowan (RHUL)
15:30 - 16:30
Room: Seminarraum 4a/b Lecture + Discussion
16:30 Hypothesis testing - Tutorial - Glen Cowan (RHUL)
Hypothesis testing - Tutorial
- Glen Cowan (RHUL)
16:30 - 17:30
Room: Seminarraum 4a/b Tutorial: Link to files: https://www.pp.rhul.ac.uk/~cowan/stat/exercises/ Description/Tasksheet (file is also attached): https://www.pp.rhul.ac.uk/~cowan/stat/exercises/cowan_stat_exercises.pdf Today: Exercises on hypothesis testing 1a-1g, see p.32 ff
Tuesday 25 February 2025
09:00 Parameter Estimation - Roger Barlow (Huddersfield)
Parameter Estimation
- Roger Barlow (Huddersfield)
09:00 - 10:00
Room: Seminarraum 4a/b Lectures + Discussion
10:00 Coffee Break
Coffee Break
10:00 - 10:30
Room: Seminarraum 4a/b
10:30 Parameter Estimation - Tutorial - Glen Cowan (RHUL)
Parameter Estimation - Tutorial
- Glen Cowan (RHUL)
10:30 - 12:30
Room: Seminarraum 4a/b Tutorial - Introduction to the Python code and practical exercises with it https://www.pp.rhul.ac.uk/~cowan/stat/exercises/cowan_stat_exercises.pdf Today: p4 ff Tutorial 1: Maximum Likelihood Fitting
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Canteen
14:00 Hypothesis Testing - Limit Setting - Glen Cowan (RHUL)
Hypothesis Testing - Limit Setting
- Glen Cowan (RHUL)
14:00 - 15:30
Room: Seminarraum 4a/b Lectures + Discussions
15:30 Coffee Break
Coffee Break
15:30 - 16:00
Room: Seminarraum 4a/b
16:00 Systematics - Roger Barlow (Huddersfield)
Systematics
- Roger Barlow (Huddersfield)
16:00 - 17:30
Room: Seminarraum 4a/b Lectures + Discussions
Wednesday 26 February 2025
09:00 Bayesian Parameter Estimation - Intro + Tutorial - Glen Cowan (RHUL)
Bayesian Parameter Estimation - Intro + Tutorial
- Glen Cowan (RHUL)
09:00 - 10:30
Room: Seminarraum 2 Tutorial + introductory Lecture
10:30 Coffee Break
Coffee Break
10:30 - 11:00
Room: Seminarraum 4a/b
11:00 Systematics: Errors on Errors - Glen Cowan (RHUL)
Systematics: Errors on Errors
- Glen Cowan (RHUL)
11:00 - 12:30
Room: Seminarraum 2 Lecture + Discussion + Tutorial Solutions are at https://www.pp.rhul.ac.uk/~cowan/stat/exercises_full/
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Canteen
14:00 Machine Learning I - Tilman Plehn (Heidelberg University) Tilman Plehn (Heidelberg University)
Machine Learning I
- Tilman Plehn (Heidelberg University)
- Tilman Plehn (Heidelberg University)
14:00 - 16:00
Room: Seminarraum 2 Lectures + Discussions https://www.thphys.uni-heidelberg.de/~plehn/pics/modern_ml.pdf https://github.com/heidelberg-hepml/ml-tutorials
16:00 Coffee Break
Coffee Break
16:00 - 16:30
Room: Seminarraum 4a/b
16:30 Disasters in Statistical Inference in Particle Physics - Roger Barlow (Huddersfield)
Disasters in Statistical Inference in Particle Physics
- Roger Barlow (Huddersfield)
16:30 - 17:30
Room: Seminarraum 2 Lecture + Discussion
18:30 School Dinner
School Dinner
18:30 - 20:30
Room: Canteen Extension 09a
Thursday 27 February 2025
09:00 Machine Learning II - Tilman Plehn (Heidelberg University) Tilman Plehn (Heidelberg University)
Machine Learning II
- Tilman Plehn (Heidelberg University)
- Tilman Plehn (Heidelberg University)
09:00 - 10:30
Room: Seminarraum 2 Lectures + Discussions
10:30 Coffee Break
Coffee Break
10:30 - 11:00
Room: Seminarraum 4a/b
11:00 Theory Uncertainties - Frank Tackmann (T (Phenomenology))
Theory Uncertainties
- Frank Tackmann (T (Phenomenology))
11:00 - 12:30
Room: Seminarraum 2 Lectures + Discussion
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Canteen
14:00 Unfolding - Lydia Brenner (Nikhef)
Unfolding
- Lydia Brenner (Nikhef)
14:00 - 16:00
Room: Seminarraum 2 Lectures + Discussion
16:00 Coffee Break
Coffee Break
16:00 - 16:30
Room: Seminarraum 4a/b
16:30 Asymmetric uncertainties - Roger Barlow (Huddersfield)
Asymmetric uncertainties
- Roger Barlow (Huddersfield)
16:30 - 17:30
Room: Seminarraum 2 Lectures + Discussion
Friday 28 February 2025
09:00 Machine Learning III - Tilman Plehn (Heidelberg University) Tilman Plehn (Heidelberg University)
Machine Learning III
- Tilman Plehn (Heidelberg University)
- Tilman Plehn (Heidelberg University)
09:00 - 10:45
Room: Seminarraum 2 Lectures + Discussion
10:45 Coffee Break
Coffee Break
10:45 - 11:15
Room: Seminarraum 4a/b
11:15 Modern Bayesian inference in practice - Kevin Kröninger (TU Dortmund)
Modern Bayesian inference in practice
- Kevin Kröninger (TU Dortmund)
11:15 - 12:15
Room: Seminarraum 2 Lectures + Discussion
12:15 Closing of school - Andreas Hinzmann (CMS (CMS Fachgruppe Searches)) Olaf Behnke (CMS (CMS Fachgruppe TOP))
Closing of school
- Andreas Hinzmann (CMS (CMS Fachgruppe Searches))
- Olaf Behnke (CMS (CMS Fachgruppe TOP))
12:15 - 12:30
Room: Seminarraum 2
12:30 Lunch Break
Lunch Break
12:30 - 14:00
Room: Canteen

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