Name: PHYSTAT-Systematics 2021, 1-3 Nov + 10 Nov
Start: 2021-11-01T14:00:00+01:00
End: 2021-11-10T22:00:00+01:00
Location: No location set

PHYSTAT-Systematics 2021, 1-3 Nov + 10 Nov

from Monday 1 November 2021 (14:00) to Wednesday 10 November 2021 (22:00)

Monday 1 November 2021
14:00
14:00 - 16:00
Contributions

14:00 Welcome to workshop

14:05 Setting the Scene - Louis Lyons (Imperial College (GB))

14:30 Statistician's overview of Systematics - David van Dyk (University of California, Irvine) David van Dyk

15:10 Systematics of direct Dark Matter signals experiments and models - Knut Morå (Columbia University) Knut Morå (Stockholm University)

15:50 Response 1 - Alessandra Brazzale (Padova)
16:00 Virtual coffee break
Virtual coffee break
16:00 - 16:20
16:20
16:20 - 18:30
Contributions

16:20 Systematics at LHC for event selection, discovery and limits - Lukas Alexander Heinrich (CERN)

17:00 Precision measurements - Alexander Glazov (Deutsches Elektronen-Synchrotron (DE))

17:40 Response 2 - Tom Junk (Department of Physics) Tom Junk (Fermi National Accelerator Lab. (US))

18:00 A call to action: Honoring PHYSTAT's 20 year old agreement - Kyle Cranmer (NYU) Kyle Stuart Cranmer (New York University (US))
Tuesday 2 November 2021
14:00
14:00 - 15:40
Contributions

14:00 Systematics in a selection of neutrino oscillation experiments - Christophe Bronner (Kamioka, ICRR, University of Tokyo)

14:40 Flavour physics - Thomas Blake (University of Warwick)

15:20 Response 3 - Chad Schafer (CMU)
15:40 Virtual coffee break
Virtual coffee break
15:40 - 16:00
16:00
16:00 - 19:00
Contributions

16:00 Theory uncertainties - Frank Tackmann Frank Tackmann (Deutsches Elektronen-Synchrotron (DE))

16:40 Data mismodelling - Adinda De Wit (Universitaet Zuerich (CH))

17:20 Response 4 - Larry Wasserman (CMU)

17:40 How the Bootstrap eliminates nuisance parameters for confidence intervals - Brad Efron (Stanford)
Wednesday 3 November 2021
14:00
14:00 - 15:40
Contributions

14:00 Systematic uncertainties in unfolding particle spectra - Mikael Kuusela (Carnegie Mellon University (US))

14:40 Three approaches to Systematics with Machine Learning - Kyle Stuart Cranmer (New York University (US))

15:20 Response 5 - Anthony Davison (EPFL)
15:40 Virtual coffee break
Virtual coffee break
15:40 - 16:00
16:00 Short talks by Statisticians
Short talks by Statisticians
16:00 - 18:20
Contributions

16:00 Transfer Learning for data-driven background modelling: Optimal Transport v Classifier Extrapolation - Tudor Manole (CMU)

16:25 Systematic effects versus nuisance parameters - Richard Lockhart (SFU)

16:50 Universal Inference - Larry Wasserman (Carnegie Mellon University)

17:15 Bayesian reflection on Systematics - James Berger (Duke University)

17:40 Partially Bayes : An inter-perspective approach for handling nuisance parameters - Xiao-Li Meng (Harvard)

17:42 Final remarks ** N.B. Summary Talks on Nov 10th ** - Olaf Behnke (Deutsches Elektronen-Synchrotron (DE))
Thursday 4 November 2021
Friday 5 November 2021
Saturday 6 November 2021
Sunday 7 November 2021

Monday 8 November 2021
Tuesday 9 November 2021
Wednesday 10 November 2021
15:00 Summary presentations
Summary presentations
15:00 - 17:00
Contributions

15:00 Physicist's summary - Nicholas Wardle (Imperial College (GB))

15:45 Statistician's summary - Sara Algeri (University of Minnesota)

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