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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
Unbiased estimation and asymptotically valid inference in multivariable Mendelian randomization with many weak instrumental variables Yihe Yang Noah Lorincz-Comi Xiaolin Zhu 41 1 0 12 Jan 2023
Distributed Sparse Linear Regression under Communication Constraints R. Fonseca B. Nadler FedML 74 2 0 09 Jan 2023
On High dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization Fei Jiang Yeqing Zhou Jianxuan Liu Yanyuan Ma 63 2 0 31 Dec 2022
Uncertainty quantification for sparse Fourier recovery F. Hoppe Felix Krahmer C. M. Verdun Marion I. Menzel Holger Rauhut 99 7 0 30 Dec 2022
Retire: Robust Expectile Regression in High Dimensions Rebeka Man Kean Ming Tan Zian Wang Wen-Xin Zhou 64 9 0 11 Dec 2022
A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data Siqi Liang F. Liang 60 0 0 08 Dec 2022
Residual Permutation Test for High-Dimensional Regression Coefficient Testing Kaiyue Wen Tengyao Wang Yuhao Wang 68 1 0 29 Nov 2022
Reconciling model-X and doubly robust approaches to conditional independence testing Ziang Niu Abhinav Chakraborty O. Dukes Eugene Katsevich 72 7 0 27 Nov 2022
Testing Heteroskedasticity in High-Dimensional Linear Regression Akira Shinkyu 32 1 0 31 Oct 2022
Prediction Sets for High-Dimensional Mixture of Experts Models Adel Javanmard S. Shao Jacob Bien 105 5 0 30 Oct 2022
Graphical Model Inference with Erosely Measured Data Lili Zheng Genevera I. Allen 74 1 0 20 Oct 2022
Simultaneous Inference in Non-Sparse High-Dimensional Linear Models Yanmei Shi Zhiruo Li Q. Zhang 62 0 0 17 Oct 2022
On Uniform Confidence Intervals for the Tail Index and the Extreme Quantile Yuya Sasaki Yulong Wang 67 0 0 11 Oct 2022
Finite- and Large- Sample Inference for Model and Coefficients in High-dimensional Linear Regression with Repro Samples P. Wang Min-ge Xie Linjun Zhang 202 5 0 19 Sep 2022
Optimal Sparse Estimation of High Dimensional Heavy-tailed Time Series Sagnik Halder George Michailidis AI4TS 98 0 0 19 Sep 2022
Advertising Media and Target Audience Optimization via High-dimensional Bandits Wenjia Ba J. Harrison Harikesh S. Nair 59 0 0 17 Sep 2022
Error Controlled Feature Selection for Ultrahigh Dimensional and Highly Correlated Feature Space Using Deep Learning Arkaprabha Ganguli D. Todem T. Maiti OOD 91 0 0 15 Sep 2022
Posterior contraction and uncertainty quantification for the multivariate spike-and-slab LASSO Yunyi Shen Sameer K. Deshpande 31 2 0 09 Sep 2022
Prediction intervals with controlled length in the heteroscedastic Gaussian regression Christophe Denis Mohamed Hebiri A. Zaoui 39 0 0 08 Sep 2022
Local Projection Inference in High Dimensions R. Adámek Stephan Smeekes Ines Wilms 100 3 0 07 Sep 2022
Small Tuning Parameter Selection for the Debiased Lasso Akira Shinkyu N. Sueishi 40 1 0 18 Aug 2022
Valid post-selection inference in Robust Q-learning Jeremiah Jones Ashkan Ertefaie Robert L. Strawderman OffRL 45 2 0 05 Aug 2022
High Dimensional Generalised Penalised Least Squares Ilias Chronopoulos Katerina Chrysikou G. Kapetanios 122 2 0 14 Jul 2022
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators Ziyan Yin 77 0 0 13 Jul 2022
CEDAR: Communication Efficient Distributed Analysis for Regressions Changgee Chang Zhiqi Bu Q. Long 41 7 0 01 Jul 2022
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles Luqin Gan Lili Zheng Genevera I. Allen 94 6 0 05 Jun 2022
Debiased Machine Learning without Sample-Splitting for Stable Estimators Qizhao Chen Vasilis Syrgkanis Morgane Austern CML 90 18 0 03 Jun 2022
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension Binh Duc Nguyen Bertrand Thirion Sylvain Arlot 31 6 0 29 May 2022
High-dimensional Data Bootstrap Victor Chernozhukov Denis Chetverikov Kengo Kato Yuta Koike 87 32 0 19 May 2022
DDAC-SpAM: A Distributed Algorithm for Fitting High-dimensional Sparse Additive Models with Feature Division and Decorrelation Yifan He Ruiyang Wu Yong Zhou Yang Feng 68 1 0 16 May 2022
Adaptive Noisy Data Augmentation for Regularized Estimation and Inference in Generalized Linear Models Yinan Li Fan Liu 40 0 0 18 Apr 2022
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models P. Kramlinger U. Schneider Tatyana Krivobokova 54 2 0 08 Apr 2022
Estimation and inference for high-dimensional nonparametric additive instrumental-variables regression Ziang Niu Yuwen Gu Wei Li CML 58 2 0 31 Mar 2022
Treatment Effect Estimation with Efficient Data Aggregation Snigdha Panigrahi Jingshen Wang Xuming He 50 3 0 23 Mar 2022
Are Latent Factor Regression and Sparse Regression Adequate? Jianqing Fan Zhipeng Lou Mengxin Yu CML 83 25 0 02 Mar 2022
Statistical Inference for Genetic Relatedness Based on High-Dimensional Logistic Regression Rong Ma Zijian Guo T. Tony Cai Hongzhe Li 42 10 0 21 Feb 2022
Correcting Confounding via Random Selection of Background Variables You-Lin Chen Lenon Minorics Dominik Janzing CML 59 4 0 04 Feb 2022
A generalized likelihood based Bayesian approach for scalable joint regression and covariance selection in high dimensions Srijata Samanta Kshitij Khare George Michailidis 132 8 0 14 Jan 2022
Estimation and Inference with Proxy Data and its Genetic Applications Sai Li T. Tony Cai Hongzhe Li 29 4 0 11 Jan 2022
High-Order Statistical Functional Expansion and Its Application To Some Nonsmooth Problems Fan Zhou Ping Li Cun-Hui Zhang 40 3 0 31 Dec 2021
High-dimensional inference via hybrid orthogonalization Yang Li Zemin Zheng Jia Zhou Ziwei Zhu 44 1 0 26 Nov 2021
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic Z. Fei Y. Ryeznik O. Sverdlov C. Tan Weng Kee Wong 61 21 0 25 Nov 2021
Inference in high-dimensional online changepoint detection Yudong Chen Tengyao Wang R. Samworth 66 4 0 02 Nov 2021
Distributed Sparse Feature Selection in Communication-Restricted Networks Hanie Barghi Amir Najafi S. Motahari 35 2 0 02 Nov 2021
Post-Regularization Confidence Bands for Ordinary Differential Equations Zhou Yu Lexin Li 27 2 0 24 Oct 2021
High-Dimensional Varying Coefficient Models with Functional Random Effects Michael Law Yaácov Ritov 42 0 0 13 Oct 2021
Uncertainty quantification in the Bradley-Terry-Luce model Chao Gao Yandi Shen A. Zhang 93 22 0 08 Oct 2021
Lagrangian Inference for Ranking Problems Yue Liu Ethan X. Fang Junwei Lu BDL FedML 51 18 0 01 Oct 2021
Design-based theory for Lasso adjustment in randomized block experiments and rerandomized experiments Ke Zhu Hanzhong Liu Yuehan Yang 26 4 0 23 Sep 2021
SIHR: Statistical Inference in High-Dimensional Linear and Logistic Regression Models Prabrisha Rakshit Zhenyu Wang T. Tony Cai Zijian Guo 62 4 0 07 Sep 2021