Statistical Learning with Sparsity: The Lasso and Generalizations

by Robert Tibshirani, Martin Wainwright, Trevor Hastie

Book Overview

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.

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• 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"