[PDF.73cn] Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics)

Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics)

[PDF.ju46] Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics)

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 | #325901 in Books |  2016-06-29 |  2016-06-29 | Original language:English | PDF # 1 |  9.25 x.66 x6.10l,.0 | File type: PDF | 274 pages

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||From the Back Cover|Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence interval

Taking the Lasso method as its starting point, this book describes the main ingredients needed to study general loss functions and sparsity-inducing regularizers. It also provides a semi-parametric approach to establishing confidence intervals and tests. Sparsity-inducing methods have proven to be very useful in the analysis of high-dimensional data. Examples include the Lasso and group Lasso methods, and the least squares method with other norm-penalties, such as the nu...

You easily download any file type for your gadget.Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics)   |  Sara van de Geer. Just read it with an open mind because none of us really know.

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