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"

23 / 23 papers shown

Title
Inference on Optimal Dynamic Policies via Softmax Approximation Qizhao Chen Morgane Austern Vasilis Syrgkanis OffRL 25 1 0 08 Mar 2023
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 27 7 0 30 Dec 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 14 7 0 27 Nov 2022
High-dimensional Data Bootstrap Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 29 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 21 20 0 25 Nov 2021
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression Linjun Zhang Rong Ma T. Tony Cai Hongzhe Li 38 12 0 06 Nov 2020
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 16 2 0 17 Aug 2020
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 18 12 0 15 Jul 2020
Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework C. Shi Xiaoyu Wang S. Luo Hongtu Zhu Jieping Ye R. Song CML OffRL 22 33 0 05 Feb 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 23 25 0 30 Dec 2019
Statistical significance in high-dimensional linear mixed models Lina Lin Mathias Drton Ali Shojaie 24 5 0 16 Dec 2019
Double-estimation-friendly inference for high-dimensional misspecified models Rajen Dinesh Shah Peter Buhlmann 18 10 0 24 Sep 2019
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 16 103 0 14 Sep 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 24 67 0 05 Jun 2018
A modern maximum-likelihood theory for high-dimensional logistic regression Pragya Sur Emmanuel J. Candes 21 285 0 19 Mar 2018
Fixed effects testing in high-dimensional linear mixed models Jelena Bradic G. Claeskens Thomas Gueuning 20 17 0 14 Aug 2017
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference Sen Zhao Daniela Witten Ali Shojaie 33 57 0 16 May 2017
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 17 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 30 388 0 25 Apr 2016
Testing and Confidence Intervals for High Dimensional Proportional Hazards Model Ethan X. Fang Y. Ning Han Liu 31 71 0 16 Dec 2014
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory Adel Javanmard Andrea Montanari 99 160 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 181 748 0 04 Apr 2008