3-7 June 2013
Lloyd's Baia Hotel, Vietri sul Mare (SA)
Europe/Rome timezone

Scientific Programme

Probability theory

  • Introduction to probability theory
  • Bayesian and frequentist approaches to probability
  • Random variables, distributions and main properties

Statistical inference

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

Confidence intervals and upper limits

  • Hypothesis testing
  • Goodness of fit
  • Frequentist and Bayesian upper limits

Multivairiate discriminators

  • Overview of multivariate discrimination methods
  • Artificial neural networks
  • Boosted decision trees

Statistical software tools

  • Overview of the main statistical tools
  • RooFit, RooStats
  • Usage examples and code demonstrations


  • Glen Cowan (Royal Holloway, London)
  • Luc Demortier (Rockfeller University, New York)
  • Lorenzo Moneta (CERN, Geneva)
  • Jochen Ott (KIT, Karlsruhe)
  • Harrison Prosper (Florida State University, Tallahassee)
Lectures detailed programme