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Statistical learning with sparsity : the lasso and generalizations /

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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 metho...

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Bibliographic Details
Main Authors: Hastie, Trevor (Author), Tibshirani, Robert (Author), Wainwright, Martin (Martin J.) (Author)
Format: eBook
Language:English
Published: Boca Raton : Chapman and Hall/CRC, 2015.
Edition:1st.
Series:Chapman & Hall/CRC monographs on statistics & applied probability
Subjects:
Mathematical statistics.
Least squares.
Linear models (Statistics)
Proof theory.
Théorie de la preuve.
MATHEMATICS / Algebra / Intermediate.
Electronic books.
Online Access:Connect to the full text of this electronic book
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by Hastie, Trevor
Published 2015
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