EAN: 9783319327730

Bilder-Quelle: discount24.de - Sport-Freizeit

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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