Semi-supervised empirical Bayes group-regularized factor regression.

Münch, Magnus M; van de Wiel, Mark A; van der Vaart, Aad W; Peeters, Carel F W

Münch, Magnus M; van de Wiel, Mark A; van der Vaart, Aad W; Peeters, Carel F W.

Afiliação

Münch MM; Department of Epidemiology & Data Science, Amsterdam UMC, Amsterdam, The Netherlands.
van de Wiel MA; Mathematical Institute, Leiden University, Leiden, The Netherlands.
van der Vaart AW; Department of Epidemiology & Data Science, Amsterdam UMC, Amsterdam, The Netherlands.
Peeters CFW; MRC Biostatistics Unit, Cambridge Institute of Public Health, Cambridge, UK.

Biom J ; 64(7): 1289-1306, 2022 10.

Article em En | MEDLINE | ID: mdl-35730912

Assuntos

Algoritmos; Projetos de Pesquisa; Teorema de Bayes; Distribuição Normal

Palavras-chave

empirical Bayes; factor regression; high-dimensional data; semisupervised learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Algoritmos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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