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Talk1 h 16 min

Practical Statistics for LHC Physicists: Bayesian Inference (3/3)

Harrison Prosper · CERN

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About

Abstract These lectures cover those principles and practices of statistics that are most relevant for work at the LHC. The first lecture discusses the basic ideas of descriptive statistics, probability and likelihood. The second lecture covers the key ideas in the frequentist approach, including confidence limits, profile likelihoods, p-values, and hypothesis testing. The third lecture covers inference in the Bayesian approach. Throughout, real-world examples will be used to illustrate the practical application of the ideas. No previous knowledge is assumed..

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The talk

  1. Practical Statistics for LHC Physicists: Bayesian Inference (3/3) 2015-04-09 · 1 h 16 min · CERN's player

Credits and licence

Institution
CERN
Department
Academic Training Lecture Regular Programme,2014-2015
Speaker
Harrison Prosper
Year
2015
Level
Graduate
Language
English
Subjects
Mathematics
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.
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