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Statistical Learning with Sparsity: The Lasso and Generalizations
Abstract
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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Metadata
- Authors
- Hastie, T., Tibshirani, R., & Wainwright, M.
- Venue
- Chapman & Hall/CRC eBooks
- Publisher
- Chapman and Hall/CRC
- Published
- 2015-05-07
- OpenAlex
- W1523985187
- Cited by
- 2,520
- References
- 0
- FWCI
- 38.81
- Type
- book
- Language
- en
- Open access
- closed
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