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Estimation and Testing Under Sparsity

Estimation and Testing Under Sparsity

Sara van de Geer

66,29 €
IVA incluido
Disponible
Editorial:
Springer Nature B.V.
Año de edición:
2016
Materia
Probabilidad y estadística
ISBN:
9783319327730
66,29 €
IVA incluido
Disponible

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Sobre IBD

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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