CERN Accelerating science

Talk
Title Practical Statistics for LHC Physicists: Frequentist Inference (2/3)
Video
If you experience any problem watching the video, click the download button below
Download Embed
Show n. of views
Mp4:1080p
(presentation)
360p
(presentation)
480p
(presentation)
720p
(presentation)
1080p
(presenter)
360p
(presenter)
480p
(presenter)
720p
(presenter)
Subtitles:
Copy-paste this code into your page:
Author(s) Prosper, Harrison (speaker) (Florida State University)
Corporate author(s) CERN. Geneva
Imprint 2015-04-08. - 4200.
Series (Academic Training Lecture Regular Programme ; 2014-2015)
Lecture note on 2015-04-08T11:00:00
Subject category Academic Training Lecture Regular Programme
Abstract 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.
Copyright/License © 2015-2024 CERN
Submitted by [email protected]

 


 Record created 2015-04-09, last modified 2024-06-26


External link:
Download fulltext
Event details