dorsal/arxiv
View SchemaMultivariate Analysis from a Statistical Point of View
| Authors | Kyle S. Cranmer |
|---|---|
| Categories | |
| ArXiv ID | physics/0310110 |
| URL | https://arxiv.org/abs/physics/0310110 |
| Journal | ECONF C030908:WEJT002,2003 |
Abstract
Multivariate Analysis is an increasingly common tool in experimental high energy physics; however, many of the common approaches were borrowed from other fields. We clarify what the goal of a multivariate algorithm should be for the search for a new particle and compare different approaches. We also translate the Neyman-Pearson theory into the language of statistical learning theory.
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"abstract": "Multivariate Analysis is an increasingly common tool in experimental high\nenergy physics; however, many of the common approaches were borrowed from other\nfields. We clarify what the goal of a multivariate algorithm should be for the\nsearch for a new particle and compare different approaches. We also translate\nthe Neyman-Pearson theory into the language of statistical learning theory.",
"arxiv_id": "physics/0310110",
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"Kyle S. Cranmer"
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"journal_ref": "ECONF C030908:WEJT002,2003",
"title": "Multivariate Analysis from a Statistical Point of View",
"url": "https://arxiv.org/abs/physics/0310110"
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