Luca Lista (INFN, Napoli, Italy) |
Tommaso Dorigo (INFN, Padova, Italy) |
Michel Herquet (B12 Consulting, Louvain-la-Neuve, Belgium) |
Maurizio Sanarico (SDG Consulting, Milano, Italy) |
Elisa Prandini (Dipartimento di Fisica e Astronomia, Università di Padova, Italy; INFN Padova, Italy) |
Alvise Raccanelli (CERN, Genève, Suisse) |
08.30 – 09.00 | Registration |
09.00 – 09.30 | Welcome |
09.30 - 10.25 | Session 1 D. van Dyk - Accounting for Uncertainty in Instrumental Calibration (and in Physical Constants)    ![]() |
10.25 - 11.00 | coffee break |
11.00 - 13.00 | Session 2 M. Simeoni - Penalised, Sieved Maximum Likelihood for Radio Interferometric Imaging    ![]() A.R. Brazzale - Statistical classics in the big data era. When (astro)physical data are small    ![]() A. Mira - Bayesian Calibration of Force-fields from Experimental Data: TIP4P Water    ![]() |
13.00 - 14.10 | lunch |
14.10 - 15.45 | Session 3 D. Marinucci - Multiple Testing of Local Maxima for Detection of Peaks on the (Celestial) Sphere    ![]() O. Behnke - Do's and Dont's in searches and fits of signals    ![]() |
15.45 - 16.15 | coffee break |
16.15 - 18.00 | Session 4 B. Sen - Confidence Intervals in the Presence of Nuisance Parameters    ![]() Session 5 Poster Speed-Presentation     ![]() |
18.00 | cocktail + Poster Session |
20.30 | social dinner |
09.00 – 09.55 | Session 6 G. Cowan - Statistical Models with Uncertain Error Parameters    ![]() |
10.00 – 11.00 | Session 7 Business talks M. Herquet - Exploring extra dimensions in business: life as a data scientist outside of research    ![]() M. Sanarico - Early stage researchers in a pratical data science environment    ![]() |
11.00 – 11.35 | coffee break |
11.35 – 13.10 | Session 8 D. Rousseau -The High Energy Physics Tracking Machine Learning (TrackML) challenge put into perspective    ![]() D. Bastieri - Statistics and Data Analysis for High-Energy Astrophysics     ![]() |
13.10 - 14.20 | lunch |
14.20 - 15.50 | Session 9 Round table |
15.50 - 16.20 | coffee break |
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 675440 AMVA4NewPhysics and No 765710 INSIGHTS
The workshop has been cofunded by the Department of Statistical Sciences of the University of Padova within the Excellence Project `Statistical Models and Methods for Complex Data'.