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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014

Statistical Analysis for High-Dimensional Data: The Abel Symposium 2014

Glad, Ingrid
Bühlmann, Peter
Frigessi, Arnoldo

Paperback

Series: Abel Symposia, Book 11

Anatomy & PhysiologyGeneral MathematicsProbability & Statistics

ISBN10: 3319800736
ISBN13: 9783319800738
Publisher: Springer
Published: Mar 30 2018
Pages: 306
Weight: 0.99
Height: 0.67 Width: 6.14 Depth: 9.21
Language: English

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.

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