{"product_id":"estimation-and-testing-under-sparsity-ecole-dete-de-probabilites-de-saint-flour-xlv-2015-9783319327730","title":"Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV - 2015","description":"\u003cp\u003e • Author(s): Sara Van de Geer\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003eTaking 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 nuclear norm. The illustrations provided include generalized linear models, density estimation, matrix completion and sparse principal components. Each chapter ends with a problem section. The book can be used as a textbook for a graduate or PhD course.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Paperback","offer_id":45277947429015,"sku":"9783319327730","price":4040.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319327730.webp?v=1769289633","url":"https:\/\/atlanticbooks.com\/products\/estimation-and-testing-under-sparsity-ecole-dete-de-probabilites-de-saint-flour-xlv-2015-9783319327730","provider":"Atlantic Books","version":"1.0","type":"link"}