Bayesian inference for ordinary differential equations models with heteroscedastic measurement error

Selva Salimi, David J. Warne, Christopher Drovandi

Ordinary differential equation (ODE) models are widely used to describe systems in many areas of science. To ensure these models provide accurate and interpretable representations…