May 25 – 29, 2015
Hotel Continental Terme, Ischia
Europe/Rome timezone

Scientific Program

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

Multivariate 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


  • Roger Barlow (Univ. of Huddersfield)
  • Helge Voss (Max-Planck-Gesellschaft)
  • Glen Cowan (Royal Holloway, London)
  • Jan Conrad (Stockholm University)
  • Mario Pelliccioni (INFN Torino)