Highdimensional data analysis

Over the last few years, significant developments have been taking place in highdimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, cov...

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Detalles Bibliográficos
Autores principales: Cai, Tony, Chen, Xiaotong
Lenguaje:eng
Publicado: Higher Education Press 2010
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2241534
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author Cai, Tony
Chen, Xiaotong
author_facet Cai, Tony
Chen, Xiaotong
author_sort Cai, Tony
collection CERN
description Over the last few years, significant developments have been taking place in highdimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from highdimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, cla
id cern-2241534
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2010
publisher Higher Education Press
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spelling cern-22415342021-04-21T19:22:28Zhttp://cds.cern.ch/record/2241534engCai, TonyChen, XiaotongHighdimensional data analysisMathematical Physics and MathematicsOver the last few years, significant developments have been taking place in highdimensional data analysis, driven primarily by a wide range of applications in many fields such as genomics and signal processing. In particular, substantial advances have been made in the areas of feature selection, covariance estimation, classification and regression. This book intends to examine important issues arising from highdimensional data analysis to explore key ideas for statistical inference and prediction. It is structured around topics on multiple hypothesis testing, feature selection, regression, claHigher Education Pressoai:cds.cern.ch:22415342010
spellingShingle Mathematical Physics and Mathematics
Cai, Tony
Chen, Xiaotong
Highdimensional data analysis
title Highdimensional data analysis
title_full Highdimensional data analysis
title_fullStr Highdimensional data analysis
title_full_unstemmed Highdimensional data analysis
title_short Highdimensional data analysis
title_sort highdimensional data analysis
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2241534
work_keys_str_mv AT caitony highdimensionaldataanalysis
AT chenxiaotong highdimensionaldataanalysis

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