Hierarchical infinite factor models for improving the prediction of surgical complications for geriatric patients
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Publication:2291546
DOI10.1214/19-AOAS1292zbMath1435.62395arXiv1807.09237OpenAlexW2990160458MaRDI QIDQ2291546
Publication date: 31 January 2020
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1807.09237
hierarchical modelinghealth carenonparametricstransfer learningBayesian factor modelsurgical outcomes
Inference from stochastic processes and prediction (62M20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
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