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07/04/2023
Implementing measurement error models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences
Throughout the life sciences we routinely seek to interpret measurements...
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05/18/2023
Generalised likelihood profiles for models with intractable likelihoods
Likelihood profiling is an efficient and powerful frequentist approach f...
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07/21/2022
Efficient inference and identifiability analysis for differential equation models with random parameters
Heterogeneity is a dominant factor in the behaviour of many biological p...
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11/24/2021
Parameter estimation and uncertainty quantification using information geometry
In this work we: (1) review likelihood-based inference for parameter est...
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10/26/2021
Multifidelity multilevel Monte Carlo to accelerate approximate Bayesian parameter inference for partially observed stochastic processes
Models of stochastic processes are widely used in almost all fields of s...
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12/28/2019
A practical guide to pseudo-marginal methods for computational inference in systems biology
For many stochastic models of interest in systems biology, such as those...
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09/14/2019