Speakers


Invited talks

Denis Bastieri (Dipartimento di fisica e Astronomia, Università di Padova, Italy)
Olaf Behnke (Deutsches Elektronen-Synchrotron, Germany)
Alessandra R. Brazzale (Dipartimento di Scienze Statistiche, Università di Padova, Italy)
Glen Cowan (Royal Holloway, University of London)
Domenico Marinucci (Università di Roma, Tor Vergata)
Antonietta Mira (Università della Svizzera Italiana, Lugano)
David Rousseau (LAL-Orsay, France)
Bodhisattva Sen (Department of Statistics, Columbia University, USA)
Matthieu Simeoni (Swiss Federal Institute of Technology -EPFL, Losanna, Switzerland)
David van Dyk (Statistics Section, Imperial College, UK)

Round table

Luca Lista (INFN, Napoli, Italy)
Tommaso Dorigo (INFN, Padova, Italy)

Business talks

Michel Herquet (B12 Consulting, Louvain-la-Neuve, Belgium)
Maurizio Sanarico (SDG Consulting, Milano, Italy)

Outreach event

Elisa Prandini (Dipartimento di Fisica e Astronomia, Università di Padova, Italy; INFN Padova, Italy)
Alvise Raccanelli (CERN, Genève, Suisse)



Program


MONDAY, SEPTEMBER 24, 2018

08.30 – 09.00Registration
09.00 – 09.30Welcome
09.30 - 10.25Session 1
D. van Dyk - Accounting for Uncertainty in Instrumental Calibration (and in Physical Constants)
10.25 - 11.00coffee break
11.00 - 13.00Session 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 - 14.10lunch
14.10 - 15.45Session 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 - 16.15coffee break
16.15 - 18.00Session 4
B. Sen - Confidence Intervals in the Presence of Nuisance Parameters

Session 5
Poster Speed-Presentation
18.00cocktail + Poster Session
20.30social dinner

TUESDAY, SEPTEMBER 25, 2018

09.00 – 09.55Session 6
G. Cowan - Statistical Models with Uncertain Error Parameters
10.00 – 11.00Session 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 – 11.35coffee break
11.35 – 13.10Session 8
D. Rousseau -The High Energy Physics Tracking Machine Learning (TrackML) challenge put into perspective

D. Bastieri -TBD
13.10 - 14.20lunch
14.20 - 15.50Session 9
Round table
15.50 - 16.20coffee break



Outreach event


An outreach seminar (in italian) will conclude the workshop:
Un nuovo sguardo sull'Universo: la nascita dell'astronomia multimessaggero




The event will take place on Tuesday, 25 at 6 pm at the following location:
Collegio Universitario Don Nicola Mazza,
Via Savonarola, 176
35137 Padova





Venue


Department of Statistical Sciences, University of Padova
via Cesare Battisti 241, Padova, Italy




How to reach us

From Venice Marco Polo airport


Just outside the airport you can take a SITA bus that arrives at the bus station in p.le Stazione (railway) in Padova.
Otherwise you may reserve a shuttle bus that take you confortably to the hotel.

From the train station


The Santa Caterina's Campus is within walking distance of the train station and the Padua coach station.

Alternatively, public transport can be used; from the Railway you can choose:

line 3 towards Lion

line 12 towards Tencarola/Selvazzano

line 16 towards Ponte San Nicolò

Tram line in the direction of Capolinea Sud - get off at the Riviera Ponti Romani stop, cross the road, take via Cesare Battisti and continue until number 241/243 (left side)


From the highway


We recommend going out at Padova Ovest, park at the park in via Sarpi (P1 - ex Canova parking), take the Diretto Ospedale minibus, get off at the last stop in via Falloppio, continue until the traffic light, turn right into via Ospedale Civile, proceed to the second lateral right that is via Cesare Battisti, reach numbers 241/243 (right side).


mappa



Accommodation


Please find below a list of Hotels and B&B. All the hotels are within walking distance of the conference venue. Partecipants to the event are kindly invited to organize their accommodation during the workshop. When booking, mention "University of Padova, Department of Statistical Sciences".

Hotels




Hotels



Bed and breakfast




Registration

Workshop participation is free of charge. To allow for a better organization, we kindly ask you to register by filling this form by September 2, 2018.


Registration Closed

Poster

All the participants are welcome to submit a poster to the workshop. Contributions inherent to the use of statistical models and learning methods in the physics field, as well general contributions in statistics of interest in physics will be considered. An oral speed session to present the main results of the contribution will precede the poster session.
PhD students and young researchers are especially invited to submit their work to the conference.
The deadline for poster submission is September 2, 2018.


Submit Closed


Scientific & Organizing Committee


Scientific Committee:



Giovanna Menardi (Chair)

Department of Statistical Sciences - University of Padova

Tommaso Dorigo

INFN - Padova

Annamaria Guolo

Department of Statistical Sciences - University of Padova

Bruno Scarpa

Department of Statistical Sciences - University of Padova

Organizing Committee:



Claudia Furlan

Department of Statistical Science - University of Padova

Annamaria Guolo

Department of Statistical Sciences - University of Padova

Silvia Meggiolaro

Department of Statistical Sciences - University of Padova



    UNIPD DSS DFA INSIGHTS AMVA4NewPhysics

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'.