Statistical Analysis for High-Dimensional Data

Name: Statistical Analysis for High-Dimensional Data
SKU: 24160351
Price: 444.00 NZD
Availability: InStock

The Abel Symposium 2014

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Hardback

Series:

Abel Symposia

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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.

Release date NZ

February 17th, 2016

Audience

Professional & Vocational

Contributors

Edited by Arnoldo Frigessi
Edited by Ingrid Glad
Edited by Marina Vannucci
Edited by Mette Langaas
Edited by Peter Buhlmann
Edited by Sylvia Richardson

Edition

1st ed. 2016

Illustrations

46 Illustrations, color; 19 Illustrations, black and white; XII, 306 p. 65 illus., 46 illus. in color.

Pages

306

Series

Abel Symposia

Dimensions

155x235x19

ISBN-13

9783319270975

Product ID

24160351

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Statistical Analysis for High-Dimensional Data

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