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Confidence Sets Based on Penalized Maximum Likelihood Estimators in
  Gaussian Regression

Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression

10 June 2008
B. M. Potscher
U. Schneider
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Papers citing "Confidence Sets Based on Penalized Maximum Likelihood Estimators in Gaussian Regression"

5 / 5 papers shown
Title
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy
Ichiro Takeuchi
20
33
0
11 May 2021
Conditional Selective Inference for Robust Regression and Outlier
  Detection using Piecewise-Linear Homotopy Continuation
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
Toshiaki Tsukurimichi
Yu Inatsu
Vo Nguyen Le Duy
Ichiro Takeuchi
27
22
0
22 Apr 2021
Valid confidence intervals for post-model-selection predictors
Valid confidence intervals for post-model-selection predictors
F. Bachoc
Hannes Leeb
B. M. Potscher
24
54
0
15 Dec 2014
On Various Confidence Intervals Post-Model-Selection
On Various Confidence Intervals Post-Model-Selection
Hannes Leeb
B. M. Potscher
K. Ewald
47
60
0
10 Jan 2014
Confidence Sets Based on Sparse Estimators Are Necessarily Large
Confidence Sets Based on Sparse Estimators Are Necessarily Large
B. M. Potscher
96
41
0
07 Nov 2007
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