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Carte Estimation and Testing Under Sparsity Sara van de Geer

Estimation and Testing Under Sparsity

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

Autor: Sara van de Geer
Limbă: engleză
Legare: Carte broșată
Editura: Springer International Publishing AG
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
304.89 lei
Taking the Lasso method as its starting point, this book describes the main ingredients needed to st...

Informații despre carte

Autor
Sara van de Geer
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2016
Pagini
274
EAN
9783319327730
ISBN
3319327739
Enbook ID
02961495
Editura
Springer International Publishing AG
Greutate
436
Dimensiuni
154 x 234 x 21

Descriere completă

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.

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