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MILFM: Multiple index latent factor model based on high-dimensional features

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Publication:3119922
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DOI10.1111/biom.12866zbMath1414.62482OpenAlexW2803097418WikidataQ52318848 ScholiaQ52318848MaRDI QIDQ3119922

Joseph G. Ibrahim, Hojin Yang, Hong-Tu Zhu

Publication date: 13 March 2019

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc6158073


zbMATH Keywords

predictiondimension reductionlatent factor modelregularized empirical riskindependent screeningmultiple-index latent factor modeling (MILFM)


Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10)


Related Items (2)

Spike-and-slab type variable selection in the Cox proportional hazards model for high-dimensional features ⋮ Diagnostic measures for kernel ridge regression on reproducing kernel Hilbert space




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