Latent class modeling using matrix covariates with application to identifying early placebo responders based on EEG signals

DOI10.1214/17-AOAS1044zbMath1380.62254WikidataQ47306561 ScholiaQ47306561MaRDI QIDQ1684233

Eva Petkova, Bei Jiang, Thaddeus Tarpey, Robert Todd Ogden

Publication date: 8 December 2017

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

zbMATH Keywords

Bayesian hierarchical modelingdata-driven regularizationplacebo effectCandecomp/Parafac (CP) matrix decompositionmajor depression

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biomedical imaging and signal processing (92C55)

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