About
The series of four lectures will introduce some of the important statistical methods used in Particle Physics, and should be particularly relevant to those involved in the analysis of LHC data. The lectures will include an introduction to statistical tests, parameter estimation, and the application of these tools to searches for new phenomena. Both frequentist and Bayesian methods will be described, with particular emphasis on treatment of systematic uncertainties. The lectures will also cover unfolding, that is, estimation of a distribution in binned form where the variable in question is subject to measurement errors..
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0:00:21 Slide 2
0:00:40 Slide 3
0:03:08 Slide 4
0:06:31 Slide 5
0:08:42 Slide 6
0:09:33 Slide 7
0:12:00 Slide 8
0:12:36 Slide 9
0:12:42 Slide 10
0:12:46 Slide 11
The talk
Credits and licence
- Institution
- CERN
- Department
- Academic Training Lecture Regular Programme,2011-2012
- Speaker
- Glen Cowan
- Year
- 2012
- Level
- Graduate
- Language
- English
- Subjects
- Physics
- 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