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Estimation and Testing Under Sparsity

Name: Estimation and Testing Under Sparsity
Brand: Springer International Publishing AG
SKU: 02961495
Price: 59.19 EUR
Availability: InStock
Author: Sara van de Geer
ISBN: 9783319327730

École d'Été de Probabilités de Saint-Flour XLV - 2015

Sara van de Geer

Language

English

Book Paperback

Libristo code: 02961495

Publishers Springer International Publishing AG, June 2016

Taking the Lasso method as its starting point, this book describes the main ingredients needed to st... Full description

Libristo code: 02961495

145 b

59.19 € VAT included

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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 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.