1.Estimating Multiplicative and Additive Hazard Functions by Kernel Methods

作　　者：Oliver Linton ;Jens Perch Nielsen ;Sara van de Geer

出　　处：Japanese Studies Programme Papers. 2001 ;.

出版社：Suntory Toyota International Centres for Economics and Related Disciplines

文章 ID：88775720

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2.Estimating Multiplicative and Additive Hazard Functions by Kernel Methods

作　　者：Oliver Linton ;Jens Perch Nielsen ;Sara van de Geer

出　　处：Econometrics Publications. 2001 ;.

出版社：Suntory Toyota International Centre for Economics and Related Disciplines

文章 ID：88713606

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3.Estimating Multiplicative and Additive Hazard Functions by Kernel Methods

作　　者：Oliver Linton ;Jens Perch Nielsen ;Sara van de Geer

出　　处：International Studies Papers. 2001 ;2001.

出版社：Suntory Toyota International Centres for Economics and Related Disciplines

文章 ID：47218481

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4.General Oracle Inequalities for Model Selection

作　　者：Charles Mitchell ;Sara van de Geer

出　　处：Electronic Journal of Statistics. 2009 ;3.doi:10.1214/08-EJS254

出版社：Institute of Mathematical Statistics

文章 ID：46982175

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5.Estimating Multiplicative and Additive Hazard Functions by Kernel Methods

作　　者：Oliver Linton ;Jens Perch Nielsen ;Sara van de Geer February

出　　处：Econometrics Publications. 2001 ;.

出版社：Suntory Toyota International Centre for Economics and Related Disciplines

文章 ID：197380490

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6.On Concentration for (Regularized) Empirical Risk Minimization

作　　者：Sara van de Geer ;Martin J. Wainwright

出　　处：Sankhya. Series A, mathematical statistics and probability. 2017 ;79(2):159-200.doi:10.1007/s13171-017-0111-9

出版社：Indian Statistical Institute

文章 ID：216538487

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7.Rejoinder

作　　者：Sara van de Geer ;Martin J. Wainwright

出　　处：Sankhya. Series A, mathematical statistics and probability. 2017 ;79(2):212-214.doi:10.1007/s13171-017-0112-8

出版社：Indian Statistical Institute

文章 ID：216538490

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8.On the total variation regularized estimator over a class of tree graphs

作　　者：Francesco Ortelli ;Sara van de Geer

出　　处：Electronic Journal of Statistics. 2018 ;12(2):4517-4570.doi:10.1214/18-EJS1519

出版社：Institute of Mathematical Statistics

文章 ID：1026081672

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9.The Smooth-Lasso and other ℓ1+ℓ2-penalized methods

作　　者：Mohamed Hebiri ;Sara van de Geer

出　　处：Electronic Journal of Statistics. 2011 ;5:1184-1226.doi:10.1214/11-EJS638

出版社：Institute of Mathematical Statistics

文章 ID：1026081852

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10.The adaptive and the thresholded Lasso for potentially misspecified models (and a lower bound for the Lasso)

作　　者：Sara van de Geer ;Peter Bühlmann ;Shuheng Zhou

出　　处：Electronic Journal of Statistics. 2011 ;5:688-749.doi:10.1214/11-EJS624

出版社：Institute of Mathematical Statistics

文章 ID：1026081862

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