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On asymptotically optimal confidence regions and tests for high-dimensional models

3 March 2013

Papers citing "On asymptotically optimal confidence regions and tests for high-dimensional models"

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Title
An Annotated Graph Model with Differential Degree Heterogeneity for Directed Networks Stefan Stein Chenlei Leng CML 38 2 0 21 Aug 2021
On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits Nilanjana Laha Rajarshi Mukherjee 68 4 0 14 Aug 2021
Controlling the False Split Rate in Tree-Based Aggregation Simeng Shao Jacob Bien Adel Javanmard 75 1 0 11 Aug 2021
Statistical Inference in High-dimensional Generalized Linear Models with Streaming Data Lan Luo Ruijian Han Yuanyuan Lin Jian Huang 81 6 0 10 Aug 2021
Test of Significance for High-dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference Huijie Feng Jingyi Duan Y. Ning Jiwei Zhao 37 1 0 09 Aug 2021
Sparse Generalized Yule-Walker Estimation for Large Spatio-temporal Autoregressions with an Application to NO2 Satellite Data Hanno Reuvers Etienne Wijler 18 2 0 05 Aug 2021
Inference for Heteroskedastic PCA with Missing Data Yuling Yan Yuxin Chen Jianqing Fan 126 19 0 26 Jul 2021
Inference for High Dimensional Censored Quantile Regression Z. Fei Qi Zheng H. Hong Yi Li 49 15 0 22 Jul 2021
Inference for Change Points in High Dimensional Mean Shift Models A. Kaul George Michailidis 58 4 0 19 Jul 2021
Chi-square and normal inference in high-dimensional multi-task regression Pierre C. Bellec Gabriel Romon 60 3 0 16 Jul 2021
The EAS approach to variable selection for multivariate response data in high-dimensional settings Salil Koner Jonathan P. Williams 52 5 0 10 Jul 2021
Asymptotic normality of robust $M$ -estimators with convex penalty Pierre C. Bellec Yiwei Shen Cun-Hui Zhang 49 12 0 08 Jul 2021
Inference in High-dimensional Linear Regression Heather S. Battey Nancy Reid 49 5 0 22 Jun 2021
Online Debiased Lasso for Streaming Data Ruijian Han Lan Luo Yuanyuan Lin Jian Huang 95 5 0 10 Jun 2021
Spatially relaxed inference on high-dimensional linear models Jérôme-Alexis Chevalier Tuan-Binh Nguyen Bertrand Thirion Joseph Salmon 70 1 0 04 Jun 2021
A Simple and General Debiased Machine Learning Theorem with Finite Sample Guarantees Victor Chernozhukov Whitney Newey Rahul Singh FedML 78 25 0 31 May 2021
Transfer Learning under High-dimensional Generalized Linear Models Ye Tian Yang Feng 97 126 0 29 May 2021
The costs and benefits of uniformly valid causal inference with high-dimensional nuisance parameters Niloofar Moosavi J. Haggstrom X. de Luna 64 15 0 05 May 2021
Directional FDR Control for Sub-Gaussian Sparse GLMs Chang Cui Jinzhu Jia Yijun Xiao Huiming Zhang 60 4 0 02 May 2021
Generalized Linear Models with Structured Sparsity Estimators Mehmet Caner 57 2 0 29 Apr 2021
Causal Inference with Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling Zijian Guo CML 74 13 0 14 Apr 2021
A New Perspective on Debiasing Linear Regressions Yufei Yi Matey Neykov 80 2 0 08 Apr 2021
Comments on Leo Breiman's paper 'Statistical Modeling: The Two Cultures' (Statistical Science, 2001, 16(3), 199-231) Jelena Bradic Yinchu Zhu 27 0 0 21 Mar 2021
DoubleML -- An Object-Oriented Implementation of Double Machine Learning in R Philipp Bach Victor Chernozhukov Malte S. Kurz Martin Spindler Jan Rabenseifner GP 109 37 0 17 Mar 2021
Orthogonalized Kernel Debiased Machine Learning for Multimodal Data Analysis Xiaowu Dai Lexin Li 60 11 0 12 Mar 2021
Divide-and-conquer methods for big data analysis Xueying Chen Jerry Q. Cheng Min‐ge Xie 50 9 0 22 Feb 2021
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality Yang Yu Shih-Kang Chao Guang Cheng FedML 75 10 0 19 Feb 2021
Inference for Low-rank Tensors -- No Need to Debias Dong Xia Anru R. Zhang Yuchen Zhou 99 18 0 29 Dec 2020
High-dimensional inference robust to outliers with l1-norm penalization Jad Beyhum 64 1 0 28 Dec 2020
Machine Learning Advances for Time Series Forecasting Ricardo P. Masini M. C. Medeiros Eduardo F. Mendes AI4TS 73 300 0 23 Dec 2020
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders Yuhao Wang Rajen Dinesh Shah 153 17 0 17 Nov 2020
A Nonconvex Framework for Structured Dynamic Covariance Recovery Katherine Tsai Mladen Kolar Oluwasanmi Koyejo 62 3 0 11 Nov 2020
Estimation, Confidence Intervals, and Large-Scale Hypotheses Testing for High-Dimensional Mixed Linear Regression Linjun Zhang Rong Ma T. Tony Cai Hongzhe Li 61 12 0 06 Nov 2020
DebiNet: Debiasing Linear Models with Nonlinear Overparameterized Neural Networks Shiyun Xu Zhiqi Bu 15 1 0 01 Nov 2020
Design of $c$ -Optimal Experiments for High dimensional Linear Models Hamid Eftekhari Moulinath Banerjee Yaácov Ritov 87 2 0 23 Oct 2020
Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso Jérôme-Alexis Chevalier Alexandre Gramfort Joseph Salmon Bertrand Thirion 79 10 0 29 Sep 2020
High-dimensional Model-assisted Inference for Local Average Treatment Effects with Instrumental Variables Baoluo Sun Z. Tan 18 13 0 19 Sep 2020
Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data Y. Ning Sida Peng Jing Tao 60 5 0 07 Sep 2020
Sparse Confidence Sets for Normal Mean Models Y. Ning Guang Cheng 107 2 0 17 Aug 2020
Deconfounding and Causal Regularization for Stability and External Validity Peter Buhlmann Domagoj Cevid CML 49 11 0 14 Aug 2020
Structural Inference in Sparse High-Dimensional Vector Autoregressions J. Krampe E. Paparoditis Carsten Trenkler 38 7 0 30 Jul 2020
The Lasso with general Gaussian designs with applications to hypothesis testing Michael Celentano Andrea Montanari Yuting Wei 129 64 0 27 Jul 2020
Lasso Inference for High-Dimensional Time Series R. Adámek Stephan Smeekes Ines Wilms AI4TS 105 35 0 21 Jul 2020
Berry-Esseen Bounds for Projection Parameters and Partial Correlations with Increasing Dimension Arun K. Kuchibhotla Alessandro Rinaldo Larry A. Wasserman 61 6 0 19 Jul 2020
Statistical Inference for Networks of High-Dimensional Point Processes Xu Wang Mladen Kolar Ali Shojaie 111 12 0 15 Jul 2020
Inference on the change point in high dimensional time series models via plug in least squares A. Kaul S. Fotopoulos V. Jandhyala Abolfazl Safikhani 34 0 0 03 Jul 2020
$Bootstrapping $\ell_p$-Statistics in High Dimensions$ Bootstrapping $\ell_p$ -Statistics in High Dimensions Alexander Giessing Jianqing Fan 43 4 0 23 Jun 2020
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality Changxiao Cai H. Vincent Poor Yuxin Chen 118 23 0 15 Jun 2020
The leave-one-covariate-out conditional randomization test Eugene Katsevich Aaditya Ramdas CML 27 2 0 15 Jun 2020
Detangling robustness in high dimensions: composite versus model-averaged estimation Jing Zhou G. Claeskens Jelena Bradic 23 3 0 12 Jun 2020