Statistical learning with sparsity : the lasso and generalizations / Trevor Hastie, Robert Tibshirani and Martin Wainwright.
Material type:
TextSeries: Monographs on statistics and applied probability ; 143.Publication details: Boca Raton : CRC Press, ©2015.Description: xv, 351 p. : illustrations (some color) ; 25 cmISBN: - 9781498712163 (hardback : acidfree paper)
- 000SA.01 23 H356
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 000SA.01 H356 (Browse shelf(Opens below)) | Checked out | 26/03/2025 | 136986 |
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| 000SA.01 G977 Statistics and probability with applications for engineers and scientists / | 000SA.01 H189 Mathematical statistics and limit theorems : | 000SA.01 H264 Introduction to statistics : using interactive MM*Stat elements / | 000SA.01 H356 Statistical learning with sparsity : the lasso and generalizations / | 000SA.01 H474 Applied statistical inference : | 000SA.01 H694s Introduction to statistical theory | 000SA.01 H694s Introduction to statistical theory |
Includes bibliographical references and indexes.
1. Introduction --
2. The lasso for linear models --
3. Generalized linear models --
4. Generalizations of the lasso penalty --
5. Optimization methods --
6. Statistical inference --
7. Matrix decompositions, approximations, and completion --
8. Sparse multivariate methods --
9. Graphs and model selection --
10. Signal approximation and compressed sensing --
11. Theoretical results for the lasso.
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