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Statistics for High-Dimensional Data

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, provin...

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Detalles Bibliográficos
Autores principales: Bühlmann, Peter, van de Geer, Sara
Lenguaje:eng
Publicado: Springer 2011
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-20192-9
http://cds.cern.ch/record/1414271
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author Bühlmann, Peter
van de Geer, Sara
author_facet Bühlmann, Peter
van de Geer, Sara
author_sort Bühlmann, Peter
collection CERN
description Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, proving their great potential in a large number of settings. Both the methods and theory are then illustrated with real data examples.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2011
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spelling cern-14142712021-04-22T00:40:11Zdoi:10.1007/978-3-642-20192-9http://cds.cern.ch/record/1414271engBühlmann, Petervan de Geer, SaraStatistics for High-Dimensional DataMathematical Physics and MathematicsModern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, such as the Lasso and boosting methods. It also provides the mathematical theory behind them, proving their great potential in a large number of settings. Both the methods and theory are then illustrated with real data examples.Springeroai:cds.cern.ch:14142712011
spellingShingle Mathematical Physics and Mathematics
Bühlmann, Peter
van de Geer, Sara
Statistics for High-Dimensional Data
title Statistics for High-Dimensional Data
title_full Statistics for High-Dimensional Data
title_fullStr Statistics for High-Dimensional Data
title_full_unstemmed Statistics for High-Dimensional Data
title_short Statistics for High-Dimensional Data
title_sort statistics for high-dimensional data
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-20192-9
http://cds.cern.ch/record/1414271
work_keys_str_mv AT buhlmannpeter statisticsforhighdimensionaldata
AT vandegeersara statisticsforhighdimensionaldata