INFN School of Statistics 2019


The fourth edition of INFN School of Statistics will be held from 2nd to 7th of June 2019 in Paestum, a city founded by Greeks in Southern Italy around 600 BC, renown for the archeological park with three very well preserved Doric temples, and its archeological museum.The INFN School Of Statistics intends to provide an overview of statistical methods and tools used in particle, astro-particle and nuclear physics and is targeted towards physicists interested in data analysis ranging from PhD students to senior physicists willing to extend their knowledge and skills in the field of statistical methods.

The scientific programme covers a wide range of topics, from an introduction to probability and statistics, to advanced methods for hypothesis testing, interval estimation and tools for discovery, and multivariate analysis, including machine learning with artificial neural networks and deep learning.

Six international experts will give lectures during this edition of the school:

  • Glen Cowan, Royal Holloway, University of London
  • Sergei Gleyzer, University of Florida
  • Eilam Gross, Weizmann Institute of Science
  • Mario Pelliccioni, INFN Torino
  • Harrison Prosper, Florida State University, Tallahassee
  • Aldo Solari, University of Milano-Bicocca

Registrations are open until April 14th.

INSIGHTS ITN Blog – Post Zero

by Tommaso Dorigo

As a coordinator of the outreach work package of the INSIGHTS EU ITN, I welcome you to this blog! To address the chance that you casually come by, I feel I need to explain from the outset what a EU ITN is, and what we are in particular.

The European Commission has a program called Horizon2020 within which several initiatives have been funded to foster research, innovation, and training to improve our society. In particular one of these initiatives is called “Marie Curie Actions”. Within these actions the ITN (for “innovative training networks”) is a scheme Continue reading “INSIGHTS ITN Blog – Post Zero”