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Confidence regions for high-dimensional generalized linear models under
  sparsity

Confidence regions for high-dimensional generalized linear models under sparsity

5 October 2016
Jana Janková
Sara van de Geer
ArXiv (abs)PDFHTML

Papers citing "Confidence regions for high-dimensional generalized linear models under sparsity"

7 / 7 papers shown
Title
Honest confidence regions and optimality in high-dimensional precision
  matrix estimation
Honest confidence regions and optimality in high-dimensional precision matrix estimation
Jana Janková
Sara van de Geer
105
75
0
08 Jul 2015
Worst possible sub-directions in high-dimensional models
Worst possible sub-directions in high-dimensional models
Sara van de Geer
105
11
0
27 Mar 2014
Confidence intervals for high-dimensional inverse covariance estimation
Confidence intervals for high-dimensional inverse covariance estimation
Jana Janková
Sara van de Geer
123
187
0
26 Mar 2014
Rates of convergence of the Adaptive LASSO estimators to the Oracle
  distribution and higher order refinements by the bootstrap
Rates of convergence of the Adaptive LASSO estimators to the Oracle distribution and higher order refinements by the bootstrap
A. Chatterjee
S. Lahiri
72
97
0
08 Jul 2013
On asymptotically optimal confidence regions and tests for
  high-dimensional models
On asymptotically optimal confidence regions and tests for high-dimensional models
Sara van de Geer
Peter Buhlmann
Yaácov Ritov
Ruben Dezeure
222
1,131
0
03 Mar 2013
Confidence sets in sparse regression
Confidence sets in sparse regression
Richard Nickl
Sara van de Geer
109
111
0
07 Sep 2012
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic
  Programming
Square-Root Lasso: Pivotal Recovery of Sparse Signals via Conic Programming
A. Belloni
Victor Chernozhukov
Lie Wang
191
675
0
28 Sep 2010
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