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Confidence Sets Based on Sparse Estimators Are Necessarily Large

Confidence Sets Based on Sparse Estimators Are Necessarily Large

7 November 2007
B. M. Potscher
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Papers citing "Confidence Sets Based on Sparse Estimators Are Necessarily Large"

5 / 5 papers shown
Title
Uniformly valid confidence intervals post-model-selection
Uniformly valid confidence intervals post-model-selection
F. Bachoc
David Preinerstorfer
Lukas Steinberger
29
48
0
03 Nov 2016
On Various Confidence Intervals Post-Model-Selection
On Various Confidence Intervals Post-Model-Selection
Hannes Leeb
B. M. Potscher
K. Ewald
54
60
0
10 Jan 2014
On confidence intervals in regression that utilize uncertain prior
  information about a vector parameter
On confidence intervals in regression that utilize uncertain prior information about a vector parameter
Paul Kabaila
Dilshani Tissera
35
6
0
27 Mar 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
46
1,123
0
03 Mar 2013
Confidence Sets Based on Penalized Maximum Likelihood Estimators in
  Gaussian Regression
Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression
B. M. Potscher
U. Schneider
102
53
0
10 Jun 2008
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