现货 稀疏情况下的估计和测试：圣弗洛尔概率学院第四十五期--2015（数学讲义，2159）。Estimation and Testing Under Sparsity:école d'été de Probabilités de Saint-Flour XLV – 2
￥ 466 九五品
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作者Sara van de Geer
出版社Springer
ISBN9783319327730
出版时间2016-06
版次1
装帧平装
页数287页
货号9783319327730
上书时间2023-06-28
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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. Read more
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