A Pseudo-Likelihood Approach to Linear Regression With Partially Shuffled Data

DOI10.1080/10618600.2020.1870482OpenAlexW3125917205MaRDI QIDQ5066484

Guoqing Diao, Emanuel Ben-David, Martin Slawski

Publication date: 29 March 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1910.01623

zbMATH Keywords

expectation-maximization algorithmpseudo-likelihoodmixture modelsrecord linkagebroken sample problem

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Linear regression with partially mismatched data: local search with theoretical guarantees

Uses Software

• UCI-ml
• robustbase
• fastLink

Cites Work

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• Statistical Analysis with Linked Data

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