Statistical methods in LHC data analysis

18 Nov 2009, 09:20 → 19 Nov 2009, 12:35 Europe/Zurich

CERN

Luca Lista (INFN - Naples)

Those lectures are intended as the first part of a wider tutorial aiming at the use of RooFit and RooStats. The purpose is to present selected statistics topics used for LHC data analysis manageable with RooFit and RooStats toolkits that will be presented on November 26 and 27 2009 EVO: Statistical methods (Universe)

Wednesday, 18 November

09:30 → 09:40 Introduction

Speaker: Luca Lista (INFN - Naples)

Slides tutorial-intro.pdf tutorial-intro.ppt

09:40 → 10:55 Part I.1

Parameter estimates Likelihood function Maximum Likelihood method Problems with asymmetric errors

Speaker: Luca Lista (INFN - Naples)

How to playback the recording https://twiki.cern.ch/twiki/bin/view/CMS/WorkBookHelp#EvoPlayBack

Slides tutorial-1.1.pdf tutorial-1.1.ppt

Video recording stat1-09-11-18-0931.zip

10:55 → 11:00 break

11:00 → 12:20 Part I.2

Hypothesis testing Neyman-Pearson lemma and likelihood ratio Multivariate analysis (elements) Confidence intervals Feldman-Cousins ordering Chi-squared fits and goodness-of-fit

Speaker: Luca Lista (INFN - Naples)

How to play the video https://twiki.cern.ch/twiki/bin/view/CMS/WorkBookHelp#EvoPlayBack

Slides tutorial-1.2.pdf tutorial-1.2.ppt

video recording stat2-09-11-18-1101.zip

Thursday, 19 November

09:30 → 10:50 Part II.1

Bayes theorem Bayesian probability Bayesian inference

Speaker: Luca Lista (INFN - Naples)

Slides tutorial-2.1.pdf tutorial-2.1.ppt

Video Statistical_Methods_in_LHC-09-11-19-1028_(Part_1).zip

10:50 → 11:00 break

11:00 → 12:25 Part II.2

Upper limits Treatment of background Bayesian limits Modified frequentist approach (CLs method) Nuisance parameters and Cousins-Highland approach

Speaker: Luca Lista (INFN - Naples)

Slides tutorial-2.2.pdf tutorial-2.2.ppt

Video stat2.zip