Measurement error in Lasso: impact and likelihood bias correction
From MaRDI portal
Publication:73070
DOI10.5705/ss.2013.180OpenAlexW1504213575MaRDI QIDQ73070
Arnoldo Frigessi, Øystein Sørensen, Magne Thoresen, Arnoldo Frigessi, Øystein Sørensen, Magne Thoresen
Publication date: 2015
Published in: Statistica Sinica (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1210.5378
Related Items (18)
Bayesian regularization of Gaussian graphical models with measurement error ⋮ Sparse recovery via nonconvex regularized \(M\)-estimators over \(\ell_q\)-balls ⋮ An \(\{\ell_{1},\ell_{2},\ell_{\infty}\}\)-regularization approach to high-dimensional errors-in-variables models ⋮ On high-dimensional Poisson models with measurement error: hypothesis testing for nonlinear nonconvex optimization ⋮ Screening Methods for Linear Errors-in-Variables Models in High Dimensions ⋮ L 0 -regularization for high-dimensional regression with corrupted data ⋮ Sparse estimation in high-dimensional linear errors-in-variables regression via a covariate relaxation method ⋮ Correlation analysis with additive distortion measurement errors ⋮ Model selection in high-dimensional noisy data: a simulation study ⋮ Multi-Task Learning with High-Dimensional Noisy Images ⋮ Low-rank matrix estimation via nonconvex optimization methods in multi-response errors-in-variables regression ⋮ On Parameter Estimation for High Dimensional Errors-in-Variables Models ⋮ Weighted \(\ell_1\)-penalized corrected quantile regression for high dimensional measurement error models ⋮ Covariate Selection in High-Dimensional Generalized Linear Models With Measurement Error ⋮ Inference in high dimensional linear measurement error models ⋮ Regularized matrix-variate logistic regression with response subject to misclassification ⋮ hdme ⋮ The generalized equivalence of regularization and min-max robustification in linear mixed models
This page was built for publication: Measurement error in Lasso: impact and likelihood bias correction