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07/03/2023
Understanding the impact of numerical solvers on inference for differential equation models
Most ordinary differential equation (ODE) models used to describe biolog...
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10/04/2022
Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems
Ordinary differential equation models are used to describe dynamic proce...
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11/10/2020
Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models
When modelling time series, it is common to decompose observed variation...
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05/22/2020
Model Evidence with Fast Tree Based Quadrature
High dimensional integration is essential to many areas of science, rang...
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03/17/2020
R^*: A robust MCMC convergence diagnostic with uncertainty using gradient-boosted machines
Markov chain Monte Carlo (MCMC) has transformed Bayesian model inference...
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12/18/2018