About
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..
0:00:00 Slide 1
0:02:52 Slide 2
0:05:43 Slide 3
0:11:25 Slide 4
0:17:07 Slide 5
0:22:50 Slide 6
0:28:32 Slide 7
0:34:14 Slide 8
0:39:57 Slide 9
0:45:39 Slide 10
0:51:21 Slide 11
The talk
Credits and licence
- Institution
- CERN
- Department
- Academic Training Lecture Regular Programme,2007-2008
- Speaker
- Glen COWAN
- Year
- 2008
- Level
- Graduate
- Language
- English
- Subjects
- Physics, Engineering
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed