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Valid confidence intervals for post-model-selection predictors

Valid confidence intervals for post-model-selection predictors

15 December 2014
F. Bachoc
Hannes Leeb
B. M. Potscher
ArXivPDFHTML

Papers citing "Valid confidence intervals for post-model-selection predictors"

6 / 6 papers shown
Title
Quantifying Statistical Significance of Neural Network-based Image
  Segmentation by Selective Inference
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
21
17
0
05 Oct 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
26
33
0
21 Jul 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference
  using Dynamic Programming
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy
Hiroki Toda
Ryota Sugiyama
Ichiro Takeuchi
13
39
0
21 Feb 2020
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
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Uniform Asymptotic Inference and the Bootstrap After Model Selection
R. Tibshirani
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
32
104
0
20 Jun 2015
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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