Téléchargez le livre : Statistical Analysis for High-Dimensional Data

Statistical Analysis for High-Dimensional Data

The Abel Symposium 2014 de

Éditeur :

Springer


Collection :

Abel Symposia

Paru le : 2016-02-16

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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.
Pages
306 pages
Collection
Abel Symposia
Parution
2016-02-16
Marque
Springer
EAN papier
9783319270975
EAN PDF
9783319270999
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
17418 Ko
Prix
147,69 €
EAN EPUB
9783319270999
Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
30
Taille du fichier
5530 Ko
Prix
147,69 €

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