Valid post-selection inference

5 June 2013

Papers citing "Valid post-selection inference"

50 / 152 papers shown

Title
Selective inference for effect modification via the lasso Qingyuan Zhao Dylan S. Small Ashkan Ertefaie CML 30 50 0 22 May 2017
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
Analysis of error control in large scale two-stage multiple hypothesis testing Wenge Guo Joseph P. Romano 16 3 0 18 Mar 2017
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE? Robert Tibshirani Saharon Rosset 24 20 0 30 Dec 2016
Models as Approximations II: A Model-Free Theory of Parametric Regression A. Buja L. Brown Arun K. Kuchibhotla R. Berk E. George Linda H. Zhao 6 10 0 10 Dec 2016
Bootstrapping and Sample Splitting For High-Dimensional, Assumption-Free Inference Alessandro Rinaldo Larry A. Wasserman M. G'Sell Jing Lei 32 92 0 16 Nov 2016
Uniformly valid confidence intervals post-model-selection François Bachoc David Preinerstorfer Lukas Steinberger 39 48 0 03 Nov 2016
BET on Independence Kai Zhang 21 48 0 17 Oct 2016
Post Selection Inference with Kernels M. Yamada Yuta Umezu Kenji Fukumizu Ichiro Takeuchi 26 28 0 12 Oct 2016
Panning for Gold: Model-X Knockoffs for High-dimensional Controlled Variable Selection E. Candès Yingying Fan Lucas Janson Jinchi Lv 53 371 0 07 Oct 2016
Discovering and Deciphering Relationships Across Disparate Data Modalities Joshua T. Vogelstein Eric W. Bridgeford Qing Wang Carey E. Priebe Mauro Maggioni Cencheng Shen 12 39 0 16 Sep 2016
On Hodges' Superefficiency and Merits of Oracle Property in Model Selection Xianyi Wu Xian Zhou 40 6 0 10 Aug 2016
MAGIC: a general, powerful and tractable method for selective inference Xiaoying Tian Nan Bi Jonathan E. Taylor 25 22 0 09 Jul 2016
Functional Choice and Non-significance Regions in Regression Laurie Davies 17 3 0 06 May 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 26 822 0 14 Apr 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing Ryan M. Rogers Aaron Roth Adam D. Smith Om Thakkar 43 83 0 13 Apr 2016
Classical Statistics and Statistical Learning in Imaging Neuroscience D. Bzdok 27 142 0 06 Mar 2016
Selective Inference Approach for Statistically Sound Predictive Pattern Mining S. Suzumura K. Nakagawa M. Sugiyama Koji Tsuda Ichiro Takeuchi TPM 15 1 0 15 Feb 2016
A knockoff filter for high-dimensional selective inference Rina Foygel Barber Emmanuel J. Candes 14 177 0 10 Feb 2016
Spherical Cap Packing Asymptotics and Rank-Extreme Detection Kai Zhang 23 10 0 19 Nov 2015
False Discoveries Occur Early on the Lasso Path Weijie Su M. Bogdan Emmanuel Candes 42 180 0 05 Nov 2015
Submodularity in Statistics: Comparing the Success of Model Selection Methods Kory D. Johnson R. Stine Dean Phillips Foster 16 7 0 21 Oct 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 14 2,449 0 14 Oct 2015
Selective inference with a randomized response Xiaoying Tian Jonathan E. Taylor 30 150 0 24 Jul 2015
Uniformly Valid Confidence Sets Based on the Lasso K. Ewald U. Schneider 36 12 0 19 Jul 2015
Honest confidence regions and optimality in high-dimensional precision matrix estimation Jana Janková Sara van de Geer 59 74 0 08 Jul 2015
An Efficient Post-Selection Inference on High-Order Interaction Models S. Suzumura K. Nakagawa Koji Tsuda Ichiro Takeuchi 16 0 0 26 Jun 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection Robert Tibshirani Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 45 104 0 20 Jun 2015
Adaptive Concentration of Regression Trees, with Application to Random Forests Stefan Wager G. Walther 30 25 0 22 Mar 2015
Asymptotics of selective inference Xiaoying Tian Jonathan E. Taylor 29 69 0 15 Jan 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 49 173 0 14 Jan 2015
A General Framework for Robust Testing and Confidence Regions in High-Dimensional Quantile Regression Tianqi Zhao Mladen Kolar Han Liu 39 43 0 30 Dec 2014
Valid uncertainty quantification about the model in a linear regression setting Ryan Martin Huiping Xu Zuoyi Zhang Chuanhai Liu 31 3 0 16 Dec 2014
Valid confidence intervals for post-model-selection predictors François Bachoc Hannes Leeb B. M. Potscher 48 53 0 15 Dec 2014
Asymptotically Honest Confidence Regions for High Dimensional Parameters by the Desparsified Conservative Lasso Mehmet Caner Anders Bredahl Kock 48 70 0 15 Oct 2014
Optimal Inference After Model Selection William Fithian Dennis L. Sun Jonathan E. Taylor 41 332 0 09 Oct 2014
Rejoinder: "A significance test for the lasso" R. Lockhart Jonathan E. Taylor Robert Tibshirani Robert Tibshirani 36 9 0 27 May 2014
Discussion: "A significance test for the lasso" Larry A. Wasserman 24 6 0 27 May 2014
Discussion: "A significance test for the lasso" Peter Buhlmann L. Meier Sara van de Geer 37 3 0 27 May 2014
Controlling the false discovery rate via knockoffs Rina Foygel Barber Emmanuel J. Candès 48 743 0 22 Apr 2014
Confidence intervals for high-dimensional inverse covariance estimation Jana Janková Sara van de Geer 78 185 0 26 Mar 2014
Exact Post Model Selection Inference for Marginal Screening Jason D. Lee Jonathan E. Taylor 60 100 0 23 Feb 2014
Inference in High Dimensions with the Penalized Score Test Arend Voorman Ali Shojaie Daniela Witten 41 35 0 12 Jan 2014
On Various Confidence Intervals Post-Model-Selection Hannes Leeb B. M. Potscher K. Ewald 64 60 0 10 Jan 2014
Exact post-selection inference, with application to the lasso Jason D. Lee Dennis L. Sun Yuekai Sun Jonathan E. Taylor 62 722 0 25 Nov 2013
Variable Selection in Causal Inference Using Penalization Ashkan Ertefaie M. Asgharian D. Stephens CML 39 2 0 06 Nov 2013
Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations M. Farrell 63 343 0 18 Sep 2013
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models U. Schneider 43 10 0 14 Aug 2013
Rates of convergence of the Adaptive LASSO estimators to the Oracle distribution and higher order refinements by the bootstrap A. Chatterjee S. Lahiri 42 96 0 08 Jul 2013
Rank-Extreme Association of Gaussian Vectors and Low-Rank Detection Kai Zhang 38 3 0 03 Jun 2013