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Nonlinear mixed effects models for repeated measures data

PulseAugur coverage of Nonlinear mixed effects models for repeated measures data — every cluster mentioning Nonlinear mixed effects models for repeated measures data across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_10241 ·

    VEM algorithm scales to fit large nonlinear mixed effects models with over 15,000 parameters

    Researchers have explored the Variational Expectation Maximization (VEM) algorithm as a scalable method for fitting Nonlinear Mixed Effects (NLME) models, particularly when dealing with a large number of parameters. Thi…