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

1–10 Nov 2021
Europe/Zurich timezone

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Contribution List

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  1. 1. Welcome to workshop
    01/11/2021, 14:00
  2. 2. Setting the Scene
    Louis Lyons (Imperial College (GB))
    01/11/2021, 14:05
  3. 3. Statistician's overview of Systematics
    David van Dyk (University of California, Irvine), David van Dyk
    01/11/2021, 14:30
  4. 4. Systematics of direct Dark Matter signals experiments and models
    Knut Morå (Columbia University), Knut Morå (Stockholm University)
    01/11/2021, 15:10
  5. 22. Response 1
    Alessandra Brazzale (Padova)
    01/11/2021, 15:50
  6. 5. Systematics at LHC for event selection, discovery and limits
    Lukas Alexander Heinrich (CERN)
    01/11/2021, 16:20
  7. 6. Precision measurements
    Alexander Glazov (Deutsches Elektronen-Synchrotron (DE))
    01/11/2021, 17:00
  8. 7. Response 2
    Tom Junk (Department of Physics), Tom Junk (Fermi National Accelerator Lab. (US))
    01/11/2021, 17:40
  9. 23. A call to action: Honoring PHYSTAT's 20 year old agreement
    Kyle Cranmer (NYU), Kyle Stuart Cranmer (New York University (US))
    01/11/2021, 18:00
  10. 8. Systematics in a selection of neutrino oscillation experiments
    Christophe Bronner (Kamioka, ICRR, University of Tokyo)
    02/11/2021, 14:00
  11. 9. Flavour physics
    Thomas Blake (University of Warwick)
    02/11/2021, 14:40
  12. 10. Response 3
    Chad Schafer (CMU)
    02/11/2021, 15:20
  13. 11. Theory uncertainties
    Frank Tackmann, Frank Tackmann (Deutsches Elektronen-Synchrotron (DE))
    02/11/2021, 16:00
  14. 12. Data mismodelling
    Adinda De Wit (Universitaet Zuerich (CH))
    02/11/2021, 16:40
  15. 14. Response 4
    Larry Wasserman (CMU)
    02/11/2021, 17:20
  16. 13. How the Bootstrap eliminates nuisance parameters for confidence intervals
    Brad Efron (Stanford)
    02/11/2021, 17:40
  17. 15. Systematic uncertainties in unfolding particle spectra
    Mikael Kuusela (Carnegie Mellon University (US))
    03/11/2021, 14:00
  18. 16. Three approaches to Systematics with Machine Learning
    Kyle Stuart Cranmer (New York University (US))
    03/11/2021, 14:40
  19. 17. Response 5
    Anthony Davison (EPFL)
    03/11/2021, 15:20
  20. 24. Transfer Learning for data-driven background modelling: Optimal Transport v Classifier Extrapolation
    Tudor Manole (CMU)
    03/11/2021, 16:00
  21. 25. Systematic effects versus nuisance parameters
    Richard Lockhart (SFU)
    03/11/2021, 16:25
  22. 26. Universal Inference
    Larry Wasserman (Carnegie Mellon University)
    03/11/2021, 16:50
  23. 27. Bayesian reflection on Systematics
    James Berger (Duke University)
    03/11/2021, 17:15
  24. 28. Partially Bayes : An inter-perspective approach for handling nuisance parameters
    Xiao-Li Meng (Harvard)
    03/11/2021, 17:40

    Recorded talk, available for viewing afterwards
    Send comments/questions for Prof. Meng to l.lyons@physics.ox.ac.uk

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  25. 19. Final remarks ** N.B. Summary Talks on Nov 10th **
    Olaf Behnke (Deutsches Elektronen-Synchrotron (DE))
    03/11/2021, 17:42
  26. 20. Physicist's summary
    Nicholas Wardle (Imperial College (GB))
    10/11/2021, 15:00
  27. 21. Statistician's summary
    Sara Algeri (University of Minnesota)
    10/11/2021, 15:45
  28. 18. Short talks by Statisticians