May 15 – 20, 2022
Hotel Ariston, Paestum
Europe/Rome timezone

Scientific Program

Probability theory

  • Introduction to probability theory
  • Distribution functions of random variables
  • Conditional probability, Bayes theorem
  • Exercise session

Statistical inference

  • Parameter estimates, properties of estimators
  • Maximum likelihood method
  • Pearson and Neyman chi-squares

Hypothesis testing and interval estimation

  • Hypothesis tests
  • Upper limits and significance evaluation
  • Treatment of nuisance parameters
  • Goodness of fit
  • Exercise session


  • Experience with statistical analysis of covid data

Statistical software tools

  • Overview of the main statistical tools
  • RooFit, RooStats
  • Hands-on exercises

Multivariate analysis

  • Introduction to multivariate analysis
  • Supervised learning: classification and regression
  • Unsupervised learning, etc.
  • Hands-on tutorial


  • Sara Algeri, University of Minnesota
  • Glen Cowan, Royal Holloway University of London
  • Michael A. Kagan, SLAC, Standord
  • Jennifer Ngadiuba, Fermilab
  • Mario Pelliccioni, INFN - Torino
  • Harrison Prosper, Florida State University
  • Gaetano Salina (COVID seminar), INFN - Roma Tor Vergata