Statistical Learning with Sparsity: The Lasso and Generalizations (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

by Trevor Hastie, Robert Tibshirani, and Martin Wainwright

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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
  • ISBN13 9781498712170
  • Publish Date 7 May 2015
  • Publish Status Active
  • Out of Print 17 June 2015
  • Publish Country US
  • Publisher Taylor & Francis Ltd
  • Imprint Chapman & Hall/CRC
  • Format eBook
  • Pages 367
  • Language English