Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates
From MaRDI portal
Publication:4566740
DOI10.1109/TIT.2017.2773474zbMath1464.62320OpenAlexW2768353504MaRDI QIDQ4566740
Constantine Caramanis, Xinyang Yi, Yudong Chen
Publication date: 27 June 2018
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tit.2017.2773474
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)
Related Items (4)
Subgroup-effects models for the analysis of personal treatment effects ⋮ Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems ⋮ Robust high dimensional expectation maximization algorithm via trimmed hard thresholding ⋮ Unnamed Item
This page was built for publication: Convex and Nonconvex Formulations for Mixed Regression With Two Components: Minimax Optimal Rates