Terascale Statistics School 2026

Contribution List

1. Registration

23/02/2026, 13:30

2. Opening (Welcome)

Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Olaf Behnke (CMS (CMS Fachgruppe TOP))

23/02/2026, 13:55

3. Basics: Probabilities, fundamental distributions, Central Limit Theorem etc. (Lecture)

Roger Barlow (Huddersfield)

23/02/2026, 14:00

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4. Hypothesis Testing - Intro (Lecture + Tutorial)

Glen Cowan (RHUL)

23/02/2026, 16:00

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5. Parameter Estimation (Lecture)

Roger Barlow (Huddersfield)

24/02/2026, 09:00

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6. Parameter Estimation (Tutorial)

Glen Cowan (RHUL)

24/02/2026, 11:00

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7. Hypothesis Testing - Limit Setting (Lecture + Tutorial)

Glen Cowan (RHUL)

24/02/2026, 14:00

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8. Hypothesis Testing - Limit Setting (Lecture + Tutorial)

Glen Cowan (RHUL)

24/02/2026, 16:00

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9. Bayesian Parameter Estimation (Lecture + Tutorial)

Glen Cowan (RHUL)

25/02/2026, 09:00

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10. Systematic Uncertainties (Lecture)

Roger Barlow (Huddersfield)

25/02/2026, 11:00

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11. Errors on Errors (Lecture + Tutorial)

Glen Cowan (RHUL)

25/02/2026, 14:00

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12. To be decided end of January: Either overflow session for Glen Cowan's Tutorials or first lecture slot on Machine Learning, by Stephen Jiggins

Glen Cowan (RHUL)

25/02/2026, 16:00

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13. Machine Learning I (Lecture + Tutorial)

Stephen Jiggins (ATLAS (ATLAS-Experiment))

26/02/2026, 09:00

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14. Machine Learning II (Lecture + Tutorial)

Stephen Jiggins (ATLAS (ATLAS-Experiment))

26/02/2026, 11:00

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15. Unfolding I (Lecture + Tutorial)

Lydia Brenner (DESY), Lydia Brenner (Nikhef)

26/02/2026, 14:00

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16. Unfolding II (Lecture + Tutorial)

Lydia Brenner (DESY), Lydia Brenner (Nikhef)

26/02/2026, 16:00

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17. Machine Learning III (Lecture + Tutorial)

Stephen Jiggins (ATLAS (ATLAS-Experiment))

27/02/2026, 09:00

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18. Machine Learning IV (Lecture + Turorial)

Stephen Jiggins (ATLAS (ATLAS-Experiment))

27/02/2026, 11:00

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19. Closing of the School

Andreas Hinzmann (CMS (CMS Fachgruppe Searches)), Olaf Behnke (CMS (CMS Fachgruppe TOP))

27/02/2026, 12:30

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