Estimation and Testing Under Sparsity École d'Été de Probabilités de Saint-Flour XLV – 2015 /
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 v...
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Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
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Edition: | 1st ed. 2016. |
Series: | École d'Été de Probabilités de Saint-Flour,
2159 |
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Online Access: | https://doi.org/10.1007/978-3-319-32774-7 |