High dimensional errors-in-variables models with dependent measurements

Mark Rudelson, Shuheng Zhou

Type: Preprint

Publication Date: 2015-01-01

Citations: 6

DOI: https://doi.org/10.48550/arxiv.1502.02355

View Publication

Locations

arXiv (Cornell University) - View
DataCite API - View

Similar Works

Action	Title	Year	Authors
+	Errors-in-variables models with dependent measurements	2017	Mark Rudelson Shuheng Zhou
+	Errors-in-variables models with dependent measurements	2016	Mark Rudelson Shuheng Zhou
+	Linear and Conic Programming Estimators in High-Dimensional Errors-in-variables Models	2014	Alexandre Belloni Mathieu Rosenbaum Alexandre B. Tsybakov
+	Linear and Conic Programming Estimators in High-Dimensional Errors-in-variables Models	2014	Alexandre Belloni Mathieu Rosenbaum Alexandre B. Tsybakov
+ PDF Chat	Linear and Conic Programming Estimators in High Dimensional Errors-in-variables Models	2016	Alexandre Belloni Mathieu Rosenbaum Alexandre B. Tsybakov
+	Linear and conic programming estimators in high dimensional errors‐in‐variables models Series B Statistical methodology	2017	Alexandre Belloni Mathieu Rosenbaum Alexandre B. Tsybakov
+	Pivotal Estimation Via Self-Normalization for High-Dimensional Linear Models with Errors in Variables	2017	Alexandre Belloni Victor Chernozhukov Abhishek Kaul Mathieu Rosenbaum Alexandre B. Tsybakov
+	Corrupted and missing predictors: Minimax bounds for high-dimensional linear regression	2012	Po‐Ling Loh Martin J. Wainwright
+	Pivotal Estimation via Self-Normalization for High-Dimensional Linear Models with Error in Variables	2017	Alexandre Belloni Victor Chernozhukov Abhishek Kaul Mathieu Rosenbaum Alexandre B. Tsybakov
+	Scalable interpretable learning for multi-response error-in-variables regression	2020	Jie Wu Zemin Zheng Yang Li Yi Zhang
+	Scalable Interpretable Learning for Multi-Response Error-in-Variables Regression	2020	Jianjun Wu Zemin Zheng Yonghui Li Yanan Zhang
+	Adaptive CoCoLasso for High-Dimensional Measurement Error Models	2025	Qin Yu
+	Lasso-type sparse regression and high-dimensional Gaussian graphical models	2012	Xiaohong Chen
+	On Principal Component Regression in a High-Dimensional Error-in-Variables Setting.	2020	Anish Agarwal Devavrat Shah Dennis Shen
+	Sparse recovery under matrix uncertainty	2010	Mathieu Rosenbaum Alexandre B. Tsybakov
+	Large-scale sparse regression models under weak assumptions	2012	Garvesh Raskutti
+	An $\{\ell_{1},\ell_{2},\ell_{\infty}\}$-regularization approach to high-dimensional errors-in-variables models	2016	Alexandre Belloni Mathieu Rosenbaum Alexandre B. Tsybakov
+	Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method	2023	Xin Li Dongya Wu
+ PDF Chat	Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso	2019	Quentin Bertrand Mathurin Massias Alexandre Gramfort Joseph Salmon
+	Handling correlated and repeated measurements with the smoothed multivariate square-root Lasso	2019	Quentin Bertrand Mathurin Massias Alexandre Gramfort Joseph Salmon

Works That Cite This (6)

Action	Title	Year	Authors
+	Pivotal Estimation via Self-Normalization for High-Dimensional Linear Models with Error in Variables	2017	Alexandre Belloni Victor Chernozhukov Abhishek Kaul Mathieu Rosenbaum Alexandre B. Tsybakov
+	Sparse parameter recovery from aggregated data	2016	Avradeep Bhowmik Joydeep Ghosh Oluwasanmi Koyejo
+	Tensor Graphical Lasso (TeraLasso)	2017	Kristjan Greenewald Shuheng Zhou Alfred O. Hero
+	Confidence bands for coefficients in high dimensional linear models with error-in-variables	2017	Victor Chernozhukov Alexandre Belloni Abhishek Kaul
+	Selected Problems for High-Dimensional Data -- Quantile and Errors-in-Variables Regressions	2016	Seyoung Park
+	Errors-in-variables models with dependent measurements	2016	Mark Rudelson Shuheng Zhou

Works Cited by This (44)

Action	Title	Year	Authors
+ PDF Chat	Estimation in a semiparametric partially linear errors-in-variables model	1999	Hua Liang Wolfgang Karl Härdle Raymond J. Carroll
+ PDF Chat	Measurement error in Lasso: impact and likelihood bias correction	2014	Øystein Sørensen Arnoldo Frigessi Magne Thoresen
+ PDF Chat	Improved matrix uncertainty selector	2013	M. Rosenbaum Alexandre B. Tsybakov
+ PDF Chat	Asymptotic Theory of Finite Dimensional Normed Spaces	1986	Vitali Milman Gideon Schechtman
+	Semiparametric Estimation in Logistic Measurement Error Models	1991	Raymond J. Carroll M. P. Wand
+	High-dimensional instrumental variables regression and confidence sets	2011	Éric Gautier Christiern Rose
+	Adaptive Lasso for High Dimensional Regression and Gaussian Graphical Modeling	2009	Shuheng Zhou Sara van de Geer Peter Bühlmann
+	Linear and Conic Programming Estimators in High-Dimensional Errors-in-variables Models	2014	Alexandre Belloni Mathieu Rosenbaum Alexandre B. Tsybakov
+	Case-Control Studies With Errors in Covariates	1993	Raymond J. Carroll Mitchell H. Gail Jay H. Lubin
+ PDF Chat	Time varying undirected graphs	2010	Shuheng Zhou John Lafferty Larry Wasserman