Statistical Learning with Sparsity : The Lasso and Generalizations PDF
by Trevor (Stanford university Stanford University Stanford University, California, USA Stanfor Hastie, Robert (Stanford university Stanford University Stanford University, California, USA Sta Tibshirani, Martin (Department of Statistics, University of California, Berkeley) Wainwright
Part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series
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Discover New Methods for Dealing with High-Dimensional DataA 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 underl
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- Format:PDF
- Pages:367 pages
- Publisher:Taylor & Francis Inc
- Publication Date:07/05/2015
- Category:
- ISBN:9781498712170
Information
-
Download Now
- Format:PDF
- Pages:367 pages
- Publisher:Taylor & Francis Inc
- Publication Date:07/05/2015
- Category:
- ISBN:9781498712170
