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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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04/04/2019
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
Here we consider, in the context of causal inference, the general questi...
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10/10/2018
Incorporating Posterior Model Discrepancy into a Hierarchical Framework to Facilitate Out-of-the-Box MCMC Sampling for Geothermal Inverse Problems and Uncertainty Quantificatio
We consider geothermal inverse problems and uncertainty quantification f...
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01/13/2018