Mixed Matrix Completion in Complex Survey Sampling under Heterogeneous Missingness

Modern surveys with large sample sizes and growing mixed-type questionnaires require robust and scalable analysis methods. In this work, we consider recovering a mixed dataframe matrix, obtained by complex survey sampling, with entries following different canonical exponential distributions and subj...

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Veröffentlicht in:	Journal of computational and graphical statistics Jg. 33; H. 4; S. 1320 - 1328
Hauptverfasser:	Mao, Xiaojun, Wang, Hengfang, Wang, Zhonglei, Yang, Shu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Taylor & Francis 01.10.2024 Taylor & Francis Ltd
Schlagworte:	Algorithms Covariate matrix Error analysis Exponential family Fast iterative shrinkage-thresholding algorithm Regression models Sampling Upper bounds fast iterative shrinkage-thresholding algorithm exponential family covariate matrix
ISSN:	1061-8600, 1537-2715
Online-Zugang:	Volltext
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