Statistical Learning with Sparsity: The Lasso and Generalizations

by , ,

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 methods that exploit sparsity to help recover the underlying signal in a set of data. Top experts in this rapidly evolving field, the authors describe the lasso for linear regression and a simple coordinate descent algorithm for its ...

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Statistical Learning with Sparsity: The Lasso and Generalizations
2015, Productivity Press, Portland

ISBN-13: 9781498712163

Hardcover

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