Practical estimation of high dimensional stochastic differential mixed-effects models

A mathematical model of the euglycemic hyperinsulinemic clamp

Inference via Bayesian Synthetic Likelihoods for a Mixed-Effects SDE Model of Tumor Growth

Intro to Approximate Bayesian Computation (ABC)

Inference for stochastic differential equations via approximate Bayesian computation

Accelerated approximate Bayesian computation with applications to protein folding data

Particle MCMC methods for parameter inference in state space models

A likelihood-free version of the stochastic approximation EM algorithm (SAEM) for parameter estimation in complex models

My data are incomplete and noisy: Information-reduction statistical methods for knowledge extraction can save your day: tools and opportunities for modelling