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Can I read Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics Book 2159) on EtoBox?
Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics Book 2159) by Sara van de Geer (auth.) is a nonfiction available to read on EtoBox.
What is Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics Book 2159) about?
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. Erscheinungsdatum: 29.06.2016
Who reads Estimation and Testing Under Sparsity: École d'Été de Probabilités de Saint-Flour XLV – 2015 (Lecture Notes in Mathematics Book 2159)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sara van de Geer (auth.)
- Publisher
- Springer International Publishing : Imprint : Springer
- Published
- 2016
- Language
- EN
- ISBN
- 9783319327730
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Science
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