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Abel Symposia

Statistical Analysis for High-Dimensional Data

The Abel Symposium 2014

Editors: Frigessi, A., Bühlmann, P., Glad, I.K., Langaas, M., Richardson, S., Vannucci, M. (Eds.)

  • Top contributors
  • Broad spectrum of problems 
  • Cutting edge research
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eBook $129.00
price for USA (gross)
  • ISBN 978-3-319-27099-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
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  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-3-319-27097-5
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  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (13 chapters)

  • Some Themes in High-Dimensional Statistics

    Frigessi, Arnoldo (et al.)

    Pages 1-13

  • Laplace Approximation in High-Dimensional Bayesian Regression

    Barber, Rina Foygel (et al.)

    Pages 15-36

  • Preselection in Lasso-Type Analysis for Ultra-High Dimensional Genomic Exploration

    Bergersen, Linn Cecilie (et al.)

    Pages 37-66

  • Spectral Clustering and Block Models: A Review and a New Algorithm

    Bhattacharyya, Sharmodeep (et al.)

    Pages 67-90

  • Bayesian Hierarchical Mixture Models

    Bottolo, Leonardo (et al.)

    Pages 91-103

Buy this book

eBook $129.00
price for USA (gross)
  • ISBN 978-3-319-27099-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.00
price for USA
  • ISBN 978-3-319-27097-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Analysis for High-Dimensional Data
Book Subtitle
The Abel Symposium 2014
Editors
  • Arnoldo Frigessi
  • Peter Bühlmann
  • Ingrid K. Glad
  • Mette Langaas
  • Sylvia Richardson
  • Marina Vannucci
Series Title
Abel Symposia
Series Volume
11
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-27099-9
DOI
10.1007/978-3-319-27099-9
Hardcover ISBN
978-3-319-27097-5
Series ISSN
2193-2808
Edition Number
1
Number of Pages
XII, 306
Number of Illustrations and Tables
46 b/w illustrations, 19 illustrations in colour
Topics