PHYSTAT-Flavour 2020

Session

Session 2

20 Oct 2020, 14:00

Conveners

Session 2

• Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
• Diego Tonelli (INFN Trieste, Italy)

Session 2

• Hans Peter Dembinski (Max-Planck-Institute for Nuclear Physics, Heidelberg)
• Louis Lyons (Imperial College (GB))

Presentation materials

zoom_14h00-15h45.mp4

zoom_15h45-17h15.mp4

zoom_18h00-19h00.mp4

9. Practical concerns in statistical combinations at ATLAS and CMS

Nicholas Wardle (Imperial College (GB))

20/10/2020, 14:00

The ATLAS and CMS collaborations have produced numerous results during the first two data-taking runs of the LHC, ranging from precision measurements of SM processes to searches for exotic phenomena and the discovery of the Higgs boson. These results make use of (often complex) statistical techniques, both for the publications and during the development and review of the data analysis/ In this...

11. Informative Goodness-of-Fit for Multivariate Distributions

Sara Algeri (University of Minnesota)

20/10/2020, 14:45

In any experimental science, the knowledge available on a given phenomenon is formalized into a statistical model. The latter encapsulates our understanding of its nature, its properties as well as our uncertainties. Experimental measurements are then collected and statistical tests of hypothesis are used to answer the important question: is our model valid? As a result, a variety of tests...

8. Look-elsewhere effect in particle physics - knowns and unknowns

André David (CERN)

20/10/2020, 15:45

The LEE, also known as multiple comparisons problem and addressed by a trials factor, has become an essential part of any analyst's toolkit in the last decade. It is much less esoteric and much more pervasive that one could naively think and we'll walking through a series of first hand recounts of appearances it has made in the LHC. We'll both discuss known techniques to deal with the effect...

7. Estimation, Accuracy and the Bootstrap

Prof. Brad Efron (Stanford University)

20/10/2020, 18:00

A brief introduction to boostrap estimates of accuracy, this talk does not assume familiarity with the topic. Bootstrap standard errors and confidence intervals are described using a small but genuine data set.