3 papers
stat.OT2026
leaspy: LEArning Spatiotemporal Patterns in PYthon
Juliette Ortholand, Sofia Kaisaridi, Nicolas Gensollen +14
Longitudinal data are fundamental across scientific disciplines for modeling how complex systems evolve over time. A core challenge in these settings is handling temporal misalignm…
stat.ME2026
Conditional bootstrap for non-linear mixed effects models
Sofia Kaisaridi, Moreno Ursino, Emmanuelle Comets
Background and Objective: Uncertainty in non-linear mixed effect models is often assessed using the Fisher information matrix to derive the standard errors of estimation. The boots…
stat.ME2026
A mixture model for subtype identification in the context of disease progression modeling
Sofia Kaisaridi, Juliette Ortholand, Caglayan Tuna +2
The progression of chronic diseases often follows highly variable trajectories, and the underlying factors remain poorly understood. Standard mixed-effects models typically represe…