Academic Training Lecture Regular Programme

Multivariate statistical methods and data mining in particle physics (3/4)

Name: Multivariate statistical methods and data mining in particle physics (3/4)
Start: 2008-06-18T11:00:00+02:00
End: 2008-06-18T12:00:00+02:00
Location: CERN

by Dr Glen COWAN (University of London)

Wednesday 18 Jun 2008, 11:00 → 12:00 Europe/Zurich

500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

400

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Description

The lectures will cover multivariate statistical methods and their applications in High Energy Physics. The methods will be viewed in the framework of a statistical test, as used e.g. to discriminate between signal and background events. Topics will include an introduction to the relevant statistical formalism, linear test variables, neural networks, probability density estimation (PDE) methods, kernel-based PDE, decision trees and support vector machines. The methods will be evaluated with respect to criteria relevant to HEP analyses such as statistical power, ease of computation and sensitivity to systematic effects. Simple computer examples that can be extended to more complex analyses will be presented.

From the same series

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Organised by

Daniele Lajust

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Multivariate statistical methods and data mining in particle physics (3/4)

by Dr Glen COWAN (University of London)

500/1-001 - Main Auditorium

CERN