Academic Training Lecture Regular Programme

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

by Harrison Prosper (Florida State University)

Europe/Zurich
503/1-001 - Council Chamber (CERN)

503/1-001 - Council Chamber

CERN

162
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Description
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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Sponsor: Albert de Roeck