Bayesian inference for stochastic differential equation mixed effects models of a tumour xenography studyPicchini, Umberto; Forman, Julie Lyng · Journal of the Royal Statistical Society: Series C (Applied Statistics) · 2019

Investigations of a compartmental model for leucine kinetics using non-linear mixed effects models with ordinary and stochastic differential equationsBerglund, M.; Sunnaker, M.; Adiels, M.; Jirstrand, M.; Wennberg, B. · Mathematical Medicine and Biology · 2012

[Advances in Intelligent Systems and Computing] Technology, Sustainability and Educational Innovation (TSIE) Volume 1110 || Ensemble Kalman Filter and Extended Kalman Filter for State-Parameter Dual Estimation in Mixed Effects Models Defined by a Stochastic Differential EquationBasantes-Andrade, Andrea; Naranjo-Toro, Miguel; Zambrano Vizuete, Marcelo; Botto-Tobar, Miguel · 2020

AIP Conference Proceedings [AIP Publishing LLC RECENT DEVELOPMENTS IN NONLINEAR ACOUSTICS: 20th International Symposium on Nonlinear Acoustics including the 2nd International Sonic Boom Forum - Écully, France (29 June–3 July 2015)] - The use of copulas to practical estimation of multivariate stochastic differential equation mixed effects modelsRupšys, P. · 2015

A mathematical model of the euglycemic hyperinsulinemic clampUmberto Picchini; Andrea De Gaetano; Simona Panunzi; Susanne Ditlevsen; Geltrude Mingrone · 2005

Modeling the euglycemic hyperinsulinemic clamp by stochastic differential equationsUmberto Picchini; Susanne Ditlevsen; Andrea De Gaetano · Journal of Mathematical Biology · 2006

Parameters of the Diffusion Leaky Integrate-and-Fire Neuronal Model for a Slowly Fluctuating SignalPicchini, Umberto; Ditlevsen, Susanne; De Gaetano, Andrea; Lansky, Petr · Neural Computation · 2008