Nonlinear mixed effects models (NLMMs) and self-modeling nonlinear regression (SEMOR) models are often used to fit repeated measures data. They use a common function shared by all subjects to model ...

We leverage recent advancements in machine learning to develop an integrated method to solve globally and estimate models featuring agent heterogeneity, nonlinear constraints, and aggregate ...

This is a preview. Log in through your library . Abstract A geometric framework for constructing optimal Bayesian designs and maximin designs for non-linear models with a single unknown parameter and ...