Titlebook: Estimation and Testing Under Sparsity; école d‘été de Proba Sara van de Geer Book 2016 Springer International Publishing Switzerland 2016 6

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英寸

Book 2016egularizers. 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-

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Pituitary-Gland

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978-3-319-32773-0Springer International Publishing Switzerland 2016

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Estimation and Testing Under Sparsity978-3-319-32774-7Series ISSN 0075-8434 Series E-ISSN 1617-9692

狂亂

https://doi.org/10.1007/978-1-4757-4893-2mensional mainly due to the easy way to record or obtain data using the internet, or cameras, or new biomedical technologies, or shopping cards, etc. High-dimensional data can also be “constructed” from only a few variables by considering for example second, third, and higher order interactions.

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https://doi.org/10.1007/978-1-4757-4893-2mensional mainly due to the easy way to record or obtain data using the internet, or cameras, or new biomedical technologies, or shopping cards, etc. High-dimensional data can also be “constructed” from only a few variables by considering for example second, third, and higher order interactions.