Statistical learning with sparsity : the lasso and generalizations / Trevor Hastie, Robert Tibshirani and Martin Wainwright.

By:

Hastie, Trevor [author]

Contributor(s):

Material type: Text

9781498712163 (hardback : acidfree paper)

Subject(s):

DDC classification:

000SA.01 23 H356

Contents:

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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Holdings
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

Total holds: 0

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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