Statistical Learning with Sparsity: The Lasso and Generalizations

by Robert Tibshirani, Martin Wainwright, Trevor Hastie

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Discover New Methods for Dealing with High-Dimensional Data

A sparse statistical model has only a small number of nonzero parameters or weights; therefore, it is much easier to estimate and interpret than a dense model. Statistical Learning with Sparsity: The Lasso and Generalizations presents methods that exploit sparsity to help recover the underlying signal in a set of data.

Top experts in this rapidly evolving field,...

Format:Paperback

Language:English

ISBN:0367738333

ISBN13:9780367738334

Release Date:December 2020

Publisher:CRC Press

Length:368 Pages

Weight:1.63 lbs.

Dimensions:0.7" x 6.1" x 9.1"

Related Subjects

Business Business & Investing Computers Computers & Technology Economics Math Mathematics Science & Math

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Statistical Learning with Sparsity: The Lasso and Generalizations

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