I. Fundamental Concepts
Probability and Statistics
2 sessions of 1h30
Lecturer : B. Clement (LPSC)
Bayesian analyses: a tutorial
3 sessions of 1h30
Lecturer : D. Sivia (Oxford)
Fits, chi2 method and Method of Maximum Likelihood
1 session of 1h30
Lecturer : J. Baudot (IPHC)
Numerical Methods for a bayesian analysis
1 session of 1h30
Lecturer : R. Bardenet (LRI)
II. Mutlivariate Discriminant
Multivariate discriminant : theoretical introduction
1 session of 1h30
Lecturer/Intervenant : B. Kegl (LAL)
Neural Networks
1 session of 1h30
Lecturer / Intervenant : J. Therhaag (Bonn)
Boosted Decision Tree and application
2 sessions of 1h30
Lecturer/Intervenant : Yann Coadou (CPPM)
III. Tools and Framework
Unfolding: general and bayesian approach
1 session of 1h30
Lecturer/Intervenant : Francesco Spano (RAL)
sPlot: a statistical tool to unfold data distributions
1 session of 1h30
Lecturer/Intervenant : F. Le Diberder (LAL)
Setting limits for the Higgs boson :
2 sessions of 1h30 hr
Lecturer / Intervenant : L. Lista (INFN)
Algorithms for Trajectometry
1 session of 2h00
Lecturer/Intervenant : P. Billoir (LPNHE)