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Estimation and testing under sparsit...

Geer, S. A. van de

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Estimation and testing under sparsity : = École d'été de probabilités de Saint-Flour XLV -- 2015 /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Estimation and testing under sparsity :/ Sara van de Geer.
Reminder of title:	École d'été de probabilités de Saint-Flour XLV -- 2015 /
Author:	Geer, S. A. van de
Published:	[Cham. Switzerland :Springer, : 2016.,
Description:	xiii, 274 p. :ill ;24 cm.
Subject:	Estimation theory. -
ISBN:	9783319327730
ISSN:	0075-8434

Estimation and testing under sparsity : = École d'été de probabilités de Saint-Flour XLV -- 2015 /
Geer, S. A. van de

Estimation and testing under sparsity :École d'été de probabilités de Saint-Flour XLV -- 2015 /Sara van de Geer. - [Cham. Switzerland :Springer,2016. - xiii, 274 p. :ill ;24 cm. - Lecture notes in mathematics,21590075-8434 ;. - Lecture notes in mathematics (Springer-Verlag) ;2159..

Includes bibliographical references (p. 267-269) and indexes.

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 andtests. Sparsity-inducing methods have proven to be very useful inthe analysis of high-dimensional data. Examples include the Lassoand 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.

ISBN: 9783319327730EUR44.99

ISSN: 0075-8434

LCCN: 2016943427Subjects--Topical Terms:

565962
Estimation theory.

LC Class. No.: QA276.8

Dewey Class. No.: 519.544

Estimation and testing under sparsity : = École d'été de probabilités de Saint-Flour XLV -- 2015 /
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100 1 $a Geer, S. A. van de $q (Sara A.). $3 3166102
245 1 0 $a Estimation and testing under sparsity : $b École d'été de probabilités de Saint-Flour XLV -- 2015 / $c Sara van de Geer.
260 # $a [Cham. Switzerland : $b Springer, $c 2016.
300 $a xiii, 274 p. : $b ill ; $c 24 cm.
490 1 0 $a Lecture notes in mathematics, $x 0075-8434 ; $v 2159
490 1 0 $a Lecture notes in mathematics. École d'été de probabilités de Saint-Flour, $x 0721-5363
504 $a Includes bibliographical references (p. 267-269) and indexes.
520 # $a 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 andtests. Sparsity-inducing methods have proven to be very useful inthe analysis of high-dimensional data. Examples include the Lassoand 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.
650 # 0 $a Estimation theory. $3 565962
650 # 0 $a Inequalities (Mathematics) $3 558383
711 2 # $a Ecole d'été de probabilités de Saint-Flour $n (45th : $d 2015 : $c Saint-Flour, France) $3 3166104
830 0 $a Lecture notes in mathematics (Springer-Verlag) ; $v 2159. $3 3166103
830 0 $a Lecture notes in mathematics (Springer-Verlag). $p École d'été deprobabilités de Saint-Flour. $3 2168990