A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models

30 December 2014

Papers citing "A General Theory of Hypothesis Tests and Confidence Regions for Sparse High Dimensional Models"

33 / 33 papers shown

Title
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 33 1 0 08 Mar 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 29 7 0 30 Dec 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 29 7 0 27 Nov 2022
High-dimensional Data Bootstrap Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 31 28 0 19 May 2022
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic Z. Fei Y. Ryeznik O. Sverdlov C. Tan Weng Kee Wong 27 20 0 25 Nov 2021
GENIUS-MAWII: For Robust Mendelian Randomization with Many Weak Invalid Instruments T. Ye Zhonghua Liu Baoluo Sun E. T. Tchetgen 34 19 0 13 Jul 2021
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression Linjun Zhang Rong Ma T. Tony Cai Hongzhe Li 44 12 0 06 Nov 2020
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 32 2 0 17 Aug 2020
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 25 12 0 15 Jul 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 13 23 0 15 Jun 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C. Shi Xiaoyu Wang Shuang Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 30 33 0 05 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 25 25 0 30 Dec 2019
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 50 21 0 27 Dec 2019
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 35 5 0 16 Dec 2019
Double-estimation-friendly inference for high-dimensional misspecified models Rajen Dinesh Shah Peter Buhlmann 26 10 0 24 Sep 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Y. Ning Sida Peng Kosuke Imai 33 87 0 20 Dec 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 24 103 0 14 Sep 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 26 67 0 05 Jun 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 23 285 0 19 Mar 2018
Fixed effects testing in high-dimensional linear mixed models Jelena Bradic G. Claeskens Thomas Gueuning 25 17 0 14 Aug 2017
Breaking the curse of dimensionality in regression Yinchu Zhu Jelena Bradic 19 19 0 01 Aug 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 48 57 0 16 May 2017
Linear Hypothesis Testing in Dense High-Dimensional Linear Models Yinchu Zhu Jelena Bradic 29 84 0 10 Oct 2016
Robust Confidence Intervals in High-Dimensional Left-Censored Regression Jelena Bradic Jiaqi Guo 15 1 0 22 Sep 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 19 7 0 01 Jul 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 35 387 0 25 Apr 2016
Sparse Nonlinear Regression: Parameter Estimation and Asymptotic Inference Zhuoran Yang Zhaoran Wang Han Liu Yonina C. Eldar Tong Zhang 6 43 0 14 Nov 2015
Goodness of fit tests for high-dimensional linear models Rajen Dinesh Shah Peter Buhlmann 30 46 0 10 Nov 2015
Distributed Estimation and Inference with Statistical Guarantees Heather Battey Jianqing Fan Han Liu Junwei Lu Ziwei Zhu 27 83 0 17 Sep 2015
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model Ethan X. Fang Y. Ning Han Liu 41 71 0 16 Dec 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 112 160 0 17 Jan 2013
High-Dimensional Sparse Additive Hazards Regression Wei Lin Jinchi Lv 55 78 0 26 Dec 2012
High-dimensional generalized linear models and the lasso Sara van de Geer 194 749 0 04 Apr 2008