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Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap

Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap

17 September 2020
Yunyi Zhang
D. Politis
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Papers citing "Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap"

4 / 4 papers shown
Title
High Dimensional Generalised Penalised Least Squares
High Dimensional Generalised Penalised Least Squares
Ilias Chronopoulos
Katerina Chrysikou
G. Kapetanios
31
2
0
14 Jul 2022
Comparison and anti-concentration bounds for maxima of Gaussian random
  vectors
Comparison and anti-concentration bounds for maxima of Gaussian random vectors
Victor Chernozhukov
Denis Chetverikov
Kengo Kato
68
220
0
21 Jan 2013
Estimation in high-dimensional linear models with deterministic design
  matrices
Estimation in high-dimensional linear models with deterministic design matrices
J. Shao
Xinwei Deng
48
76
0
05 Jun 2012
High-dimensional generalized linear models and the lasso
High-dimensional generalized linear models and the lasso
Sara van de Geer
196
749
0
04 Apr 2008
1