Identifying outliers using multiple kernel canonical correlation analysis with application to imaging genetics

DOI10.1016/j.csda.2018.03.013zbMath1469.62011OpenAlexW2795774839WikidataQ112146139 ScholiaQ112146139MaRDI QIDQ104865

Md. Ashad Alam, Vince D. Calhoun, Yu-Ping Wang, Vince D. Calhoun, Md. Ashad Alam, Yu Ping Wang

Publication date: September 2018

Published in: Computational Statistics & Data Analysis, Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2018.03.013

zbMATH Keywords

influence functionoutlier detectionimaging geneticsmultimodal datasetsmultiple kernel CCA

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20)

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Cites Work

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