Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability Book 143)
by Trevor Hastie, Robert Tibshirani, Martin Wainwright
This monograph presents a rigorous study of statistical learning with sparsity, focusing on the lasso and its generalizations. Combining statistics, mathematics, and applied probability, it offers a focused resource for readers exploring the foundations and methodology of sparse modeling.
About This Book
Statistical Learning with Sparsity examines sparse methods in statistical learning, with particular emphasis on the lasso and related generalizations.
Written by Trevor Hastie, Robert Tibshirani, and Martin Wainwright, the book presents a mathematically grounded treatment of an important area in modern statistics.
As part of the Chapman & Hall/CRC Monographs on Statistics and Applied Probability series, it is suited to readers interested in the theory and methodology of sparse statistical models.
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