2 papers
stat.CO2026
NoLimits.jl: Flexible and Composable Nonlinear Mixed-Effects Modeling in Julia
Manuel Huth, Jonas Arruda, Nina Schmid +4
Nonlinear mixed-effects models are widely used to analyze longitudinal data, but existing open-source software often supports only a limited subset of the model structures, inferen…
stat.ML2024
Assessment of Uncertainty Quantification in Universal Differential Equations
Nina Schmid, David Fernandes del Pozo, Willem Waegeman +1
Scientific Machine Learning is a new class of approaches that integrate physical knowledge and mechanistic models with data-driven techniques for uncovering governing equations of…