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Valid confidence intervals for post-model-selection predictors
v1v2v3 (latest)

Valid confidence intervals for post-model-selection predictors

Annals of Statistics (Ann. Stat.), 2014
15 December 2014
François Bachoc
Hannes Leeb
B. M. Potscher
ArXiv (abs)PDFHTML

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

18 / 18 papers shown
Title
Selective inference after convex clustering with $\ell_1$ penalization
Selective inference after convex clustering with ℓ1\ell_1ℓ1​ penalizationE S A I M: Probability & Statistics (ESAIM-PS), 2023
François Bachoc
Cathy Maugis-Rabusseau
P. Neuvial
149
3
0
04 Sep 2023
An Exact Sampler for Inference after Polyhedral Model Selection
An Exact Sampler for Inference after Polyhedral Model Selection
Sifan Liu
TPM
247
5
0
20 Aug 2023
Post-selection inference for linear mixed model parameters using the
  conditional Akaike information criterion
Post-selection inference for linear mixed model parameters using the conditional Akaike information criterion
G. Claeskens
Katarzyna Reluga
S. Sperlich
137
2
0
22 Sep 2021
Quantifying Statistical Significance of Neural Network-based Image
  Segmentation by Selective Inference
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective InferenceNeural Information Processing Systems (NeurIPS), 2020
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
250
21
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
459
44
0
21 Jul 2020
Parametric Programming Approach for More Powerful and General Lasso
  Selective Inference
Parametric Programming Approach for More Powerful and General Lasso Selective Inference
Vo Nguyen Le Duy
Ichiro Takeuchi
111
3
0
21 Apr 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 ProgrammingNeural Information Processing Systems (NeurIPS), 2020
Vo Nguyen Le Duy
Hiroki Toda
Ryota Sugiyama
Ichiro Takeuchi
230
41
0
21 Feb 2020
Sample Splitting and Weak Assumption Inference For Time Series
Sample Splitting and Weak Assumption Inference For Time Series
Robert Lunde
228
3
0
20 Feb 2019
Statistical inference with F-statistics when fitting simple models to
  high-dimensional data
Statistical inference with F-statistics when fitting simple models to high-dimensional dataEconometric Theory (ET), 2019
Hannes Leeb
Lukas Steinberger
102
1
0
12 Feb 2019
Admissibility of the usual confidence set for the mean of a univariate
  or bivariate normal population: The unknown-variance case
Admissibility of the usual confidence set for the mean of a univariate or bivariate normal population: The unknown-variance case
Hannes Leeb
Paul Kabaila
160
4
0
20 Sep 2018
Prediction out-of-sample using block shrinkage estimators: model
  selection and predictive inference
Prediction out-of-sample using block shrinkage estimators: model selection and predictive inference
Hannes Leeb
Nina Senitschnig
136
1
0
12 Sep 2018
Post hoc false positive control for spatially structured hypotheses
Post hoc false positive control for spatially structured hypotheses
Guillermo Durand
Gilles Blanchard
P. Neuvial
Étienne Roquain
125
9
0
04 Jul 2018
On the Post Selection Inference constant under Restricted Isometry
  Properties
On the Post Selection Inference constant under Restricted Isometry Properties
François Bachoc
Gilles Blanchard
P. Neuvial
155
18
0
20 Apr 2018
On the length of post-model-selection confidence intervals conditional
  on polyhedral constraints
On the length of post-model-selection confidence intervals conditional on polyhedral constraints
D. Kivaranovic
Hannes Leeb
154
17
0
05 Mar 2018
Uniform-in-Submodel Bounds for Linear Regression in a Model Free
  Framework
Uniform-in-Submodel Bounds for Linear Regression in a Model Free Framework
Arun K. Kuchibhotla
L. Brown
A. Buja
E. George
Linda H. Zhao
285
2
0
15 Feb 2018
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free
  Inference
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference
Alessandro Rinaldo
Larry A. Wasserman
M. G'Sell
Jing Lei
264
100
0
16 Nov 2016
Uniformly valid confidence intervals post-model-selection
Uniformly valid confidence intervals post-model-selection
François Bachoc
David Preinerstorfer
Lukas Steinberger
319
52
0
03 Nov 2016
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Robert Tibshirani
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
395
110
0
20 Jun 2015
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