66 citations · 353 across the 14 of their papers we have counts for
Showing 2022Show all
2 papers · 1 filter
math.DS2022★ 17 cited
Modelling of physical systems with a Hopf bifurcation using mechanistic models and machine learning
K. H. Lee, D. A. W. Barton, L. Renson
We propose a new hybrid modelling approach that combines a mechanistic model with a machine-learnt model to predict the limit cycle oscillations of physical systems with a Hopf bif…
stat.AP2022★ 15 cited
Uncertainty quantification in mechanistic epidemic models via cross-entropy approximate Bayesian computation
Americo Cunha, David A. W. Barton, Thiago G. Ritto
This paper proposes a data-driven approximate Bayesian computation framework for parameter estimation and uncertainty quantification of epidemic models, which incorporates two nove…