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Practical Statistics for Particle Physicists
These lectures cover the basic ideas of frequentist and Bayesian analysis and introduce the mathematical underpinnings of supervised machine learning. In order to focus on the essentials, we illustrate the ideas using two simple examples from particle physics.
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Lenguaje: | eng |
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2019
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Acceso en línea: | https://dx.doi.org/10.23730/CYRSP-2019-006.261 http://cds.cern.ch/record/2702849 |
_version_ | 1780964609797128192 |
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author | Prosper, Harrison B |
author_facet | Prosper, Harrison B |
author_sort | Prosper, Harrison B |
collection | CERN |
description | These lectures cover the basic ideas of frequentist and Bayesian analysis and introduce the mathematical underpinnings of supervised machine learning. In order to focus on the essentials, we illustrate the ideas using two simple examples from particle physics. |
id | oai-inspirehep.net-1766379 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
record_format | invenio |
spelling | oai-inspirehep.net-17663792020-04-08T18:56:45Zdoi:10.23730/CYRSP-2019-006.261http://cds.cern.ch/record/2702849engProsper, Harrison BPractical Statistics for Particle PhysicistsData Analysis and StatisticsThese lectures cover the basic ideas of frequentist and Bayesian analysis and introduce the mathematical underpinnings of supervised machine learning. In order to focus on the essentials, we illustrate the ideas using two simple examples from particle physics.oai:inspirehep.net:17663792019 |
spellingShingle | Data Analysis and Statistics Prosper, Harrison B Practical Statistics for Particle Physicists |
title | Practical Statistics for Particle Physicists |
title_full | Practical Statistics for Particle Physicists |
title_fullStr | Practical Statistics for Particle Physicists |
title_full_unstemmed | Practical Statistics for Particle Physicists |
title_short | Practical Statistics for Particle Physicists |
title_sort | practical statistics for particle physicists |
topic | Data Analysis and Statistics |
url | https://dx.doi.org/10.23730/CYRSP-2019-006.261 http://cds.cern.ch/record/2702849 |
work_keys_str_mv | AT prosperharrisonb practicalstatisticsforparticlephysicists |