Statistical Analysis for High-Dimensional Data The Abel Symposium 2014
This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situ...
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ftunistlouisbrus:oai:dial.uclouvain.be:ebook:81925 2023-05-15T17:08:17+02:00 Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 Vannucci, Marina Richardson, Sylvia Langaas, Mette Glad, Ingrid K Bühlmann, Peter Frigessi, Arnoldo 2016 http://hdl.handle.net/2078/ebook:81925 https://doi.org/10.1007/978-3-319-27099-9 eng eng Springer International Publishing ebook:81925 http://hdl.handle.net/2078/ebook:81925 doi:10.1007/978-3-319-27099-9 urn:ISBN:9783319270999 Statistics Computer mathematics Bioinformatics Mathematics QA71 info:eu-repo/semantics/other 2016 ftunistlouisbrus https://doi.org/10.1007/978-3-319-27099-9 2018-05-16T22:33:37Z This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are among the most prominent researchers on the theory of statistics for high dimensional inference, present new theories and methods, as well as challenging applications and computational solutions. Specific themes include, among others, variable selection and screening, penalised regression, sparsity, thresholding, low dimensional structures, computational challenges, non-convex situations, learning graphical models, sparse covariance and precision matrices, semi- and non-parametric formulations, multiple testing, classification, factor models, clustering, and preselection. Highlighting cutting-edge research and casting light on future research directions, the contributions will benefit graduate students and researchers in computational biology, statistics and the machine learning community. Other/Unknown Material Lofoten DIAL@USL-B (Université Saint-Louis, Bruxelles) Lofoten Norway |
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DIAL@USL-B (Université Saint-Louis, Bruxelles) |
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ftunistlouisbrus |
language |
English |
topic |
Statistics Computer mathematics Bioinformatics Mathematics QA71 |
spellingShingle |
Statistics Computer mathematics Bioinformatics Mathematics QA71 Vannucci, Marina Richardson, Sylvia Langaas, Mette Glad, Ingrid K Bühlmann, Peter Frigessi, Arnoldo Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 |
topic_facet |
Statistics Computer mathematics Bioinformatics Mathematics QA71 |
description |
This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyvågar, Lofoten, Norway, in May 2014. The focus of the symposium was on statistical and machine learning methodologies specifically developed for inference in “big data” situations, with particular reference to genomic applications. The contributors, who are among the most prominent researchers on the theory of statistics for high dimensional inference, present new theories and methods, as well as challenging applications and computational solutions. Specific themes include, among others, variable selection and screening, penalised regression, sparsity, thresholding, low dimensional structures, computational challenges, non-convex situations, learning graphical models, sparse covariance and precision matrices, semi- and non-parametric formulations, multiple testing, classification, factor models, clustering, and preselection. Highlighting cutting-edge research and casting light on future research directions, the contributions will benefit graduate students and researchers in computational biology, statistics and the machine learning community. |
format |
Other/Unknown Material |
author |
Vannucci, Marina Richardson, Sylvia Langaas, Mette Glad, Ingrid K Bühlmann, Peter Frigessi, Arnoldo |
author_facet |
Vannucci, Marina Richardson, Sylvia Langaas, Mette Glad, Ingrid K Bühlmann, Peter Frigessi, Arnoldo |
author_sort |
Vannucci, Marina |
title |
Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 |
title_short |
Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 |
title_full |
Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 |
title_fullStr |
Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 |
title_full_unstemmed |
Statistical Analysis for High-Dimensional Data The Abel Symposium 2014 |
title_sort |
statistical analysis for high-dimensional data the abel symposium 2014 |
publisher |
Springer International Publishing |
publishDate |
2016 |
url |
http://hdl.handle.net/2078/ebook:81925 https://doi.org/10.1007/978-3-319-27099-9 |
geographic |
Lofoten Norway |
geographic_facet |
Lofoten Norway |
genre |
Lofoten |
genre_facet |
Lofoten |
op_relation |
ebook:81925 http://hdl.handle.net/2078/ebook:81925 doi:10.1007/978-3-319-27099-9 urn:ISBN:9783319270999 |
op_doi |
https://doi.org/10.1007/978-3-319-27099-9 |
_version_ |
1766064005400494080 |