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Can One Estimate The Unconditional Distribution of Post-Model-Selection
  Estimators?

Can One Estimate The Unconditional Distribution of Post-Model-Selection Estimators?

12 April 2007
Hannes Leeb
Benedikt M. Poetscher
ArXivPDFHTML

Papers citing "Can One Estimate The Unconditional Distribution of Post-Model-Selection Estimators?"

25 / 25 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
40
34
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
47
22
0
22 Apr 2021
Machine learning in policy evaluation: new tools for causal inference
Machine learning in policy evaluation: new tools for causal inference
N. Kreif
K. DiazOrdaz
ELM
CML
38
45
0
01 Mar 2019
The Limits of Post-Selection Generalization
The Limits of Post-Selection Generalization
Kobbi Nissim
Adam D. Smith
Thomas Steinke
Uri Stemmer
Jonathan R. Ullman
39
26
0
15 Jun 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
21
17
0
05 Mar 2018
In Defense of the Indefensible: A Very Naive Approach to
  High-Dimensional Inference
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference
Sen Zhao
Daniela Witten
Ali Shojaie
53
58
0
16 May 2017
Quantile Graphical Models: Prediction and Conditional Independence with
  Applications to Systemic Risk
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk
A. Belloni
Mingli Chen
Victor Chernozhukov
29
7
0
01 Jul 2016
Analysis of Testing-Based Forward Model Selection
Analysis of Testing-Based Forward Model Selection
Damian Kozbur
37
9
0
08 Dec 2015
Regularization and Bayesian Learning in Dynamical Systems: Past, Present
  and Future
Regularization and Bayesian Learning in Dynamical Systems: Past, Present and Future
A. Chiuso
40
56
0
04 Nov 2015
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
43
104
0
20 Jun 2015
Uncertainty Quantification for Matrix Compressed Sensing and Quantum
  Tomography Problems
Uncertainty Quantification for Matrix Compressed Sensing and Quantum Tomography Problems
Alexandra Carpentier
Jens Eisert
David Gross
Richard Nickl
25
19
0
13 Apr 2015
Valid confidence intervals for post-model-selection predictors
Valid confidence intervals for post-model-selection predictors
François Bachoc
Hannes Leeb
B. M. Potscher
48
53
0
15 Dec 2014
The Benefit of Group Sparsity in Group Inference with De-biased Scaled
  Group Lasso
The Benefit of Group Sparsity in Group Inference with De-biased Scaled Group Lasso
Ritwik Mitra
Cun-Hui Zhang
64
46
0
13 Dec 2014
Confidence intervals for high-dimensional inverse covariance estimation
Confidence intervals for high-dimensional inverse covariance estimation
Jana Janková
Sara van de Geer
78
185
0
26 Mar 2014
On Various Confidence Intervals Post-Model-Selection
On Various Confidence Intervals Post-Model-Selection
Hannes Leeb
B. M. Potscher
K. Ewald
64
60
0
10 Jan 2014
Valid post-selection inference
Valid post-selection inference
R. Berk
L. Brown
A. Buja
Kai Zhang
Linda H. Zhao
50
579
0
05 Jun 2013
Post-Selection Inference for Generalized Linear Models with Many
  Controls
Post-Selection Inference for Generalized Linear Models with Many Controls
A. Belloni
Victor Chernozhukov
Ying Wei
61
187
0
15 Apr 2013
On the uniform asymptotic validity of subsampling and the bootstrap
On the uniform asymptotic validity of subsampling and the bootstrap
Joseph P. Romano
A. Shaikh
69
103
0
12 Apr 2012
On adaptive inference and confidence bands
On adaptive inference and confidence bands
M. Hoffmann
Richard Nickl
63
82
0
23 Feb 2012
Parametric or nonparametric? A parametricness index for model selection
Parametric or nonparametric? A parametricness index for model selection
Wen Liu
Yuhong Yang
62
59
0
02 Feb 2012
Focused information criterion and model averaging for generalized
  additive partial linear models
Focused information criterion and model averaging for generalized additive partial linear models
Xinyu Zhang
Hua Liang
63
155
0
08 Mar 2011
Conditional predictive inference post model selection
Conditional predictive inference post model selection
Hannes Leeb
TPM
105
32
0
25 Aug 2009
Pushing the Limits of Contemporary Statistics: Contributions in Honor of
  Jayanta K. Ghosh
Pushing the Limits of Contemporary Statistics: Contributions in Honor of Jayanta K. Ghosh
B. Clarke
S. Ghosal
85
47
0
27 Jun 2008
Jump estimation in inverse regression
Jump estimation in inverse regression
L. Boysen
Axel Munk
63
13
0
14 Mar 2008
On the Distribution of Penalized Maximum Likelihood Estimators: The
  LASSO, SCAD, and Thresholding
On the Distribution of Penalized Maximum Likelihood Estimators: The LASSO, SCAD, and Thresholding
B. M. Potscher
Hannes Leeb
88
176
0
05 Nov 2007
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