5 citations · 7 across the 5 of their papers we have counts for
5 papers
Parameter identification for predator-prey system with sparse data
Eduard Campillo-Funollet, James Van Yperen
Parameter identification from observations of dynamical systems is a fundamental problem in population biology. Mechanistic models of ecological systems rely on optimization method…
Comprehensive identifiability analysis and reliable parameter estimation for an SEIR model
Eduard Campillo-Funollet, James Van Yperen
The Susceptible-Exposed-Infectious-Removed (SEIR) model is a fundamental model in epidemiology. Model parameters such as the reciprocal transmission, incubation, and infectious rat…
Reformulating the SIR model in terms of the number of COVID-19 detected cases: well-posedness of the observational model
Eduard Campillo-Funollet, Hayley Wragg, James Van Yperen +2
Compartmental models are popular in the mathematics of epidemiology for their simplicity and wide range of applications. Although they are typically solved as initial value problem…
A hospital demand and capacity intervention approach for COVID-19 in the UK
James Van Yperen, Eduard Campillo-Funollet, Rebecca Inkpen +2
The mathematical interpretation of interventions for the mitigation of epidemics and pandemics in the literature often involves finding the optimal time to initiate an intervention…
A Bayesian approach to parameter identification with an application to Turing systems
Eduard Campillo-Funollet, Chandrasekhar Venkataraman, Anotida Madzvamuse
We present a Bayesian methodology for infinite as well as finite dimensional parameter identification for partial differential equation models. The Bayesian framework provides a ri…