Statistical Analysis for High-Dimensional Data

The Abel Symposium 2014

By: Arnoldo Frigessi (Editor), Sylvia Richardson (Editor), Peter Buhlmann (Editor), Mette Langaas (Editor), Marina Vannucci (Editor)

Write A Review

Paperback | 30 March 2018

At a Glance

Paperback
320 Pages

Dimensions(cm)
23.5 x 15.5 x 1.7

Paperback

$249.00

or 4 interest-free payments of $62.25 with

or

Ships in 5 to 7 business days

This book features research contributions from The Abel Symposium on Statistical Analysis for High Dimensional Data, held in Nyv¥gar, 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.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.