activity
20202024
most citedProfile likelihood analysis for a stochastic model of diffusion in heterogeneous media

17 citations · 40 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2024★ 11 cited

The impact of Covid-19 vaccination in Aotearoa New Zealand: a modelling study

Samik Datta, Giorgia Vattiato, Oliver J Maclaren +3

Aotearoa New Zealand implemented a Covid-19 elimination strategy in 2020 and 2021, which enabled a large majority of the population to be vaccinated before being exposed to the vir…

q-bio.QM2023★ 3 cited

Implementing measurement error models with mechanistic mathematical models in a likelihood-based framework for estimation, identifiability analysis, and prediction in the life sciences

Ryan J. Murphy, Oliver J. Maclaren, Matthew J. Simpson

Throughout the life sciences we routinely seek to interpret measurements and observations using parameterised mechanistic mathematical models. A fundamental and often overlooked ch…

stat.ME2023★ 9 cited

Generalised likelihood profiles for models with intractable likelihoods

David J. Warne, Oliver J. Maclaren, Elliot J. Carr +2

Likelihood profiling is an efficient and powerful frequentist approach for parameter estimation, uncertainty quantification and practical identifiablity analysis. Unfortunately, th…

q-bio.PE2021

Likelihood-based estimation and prediction for a measles outbreak in Samoa

David Wu, Helen Petousis-Harris, Janine Paynter +2

Prediction of the progression of an infectious disease outbreak is important for planning and coordinating a response. Differential equations are often used to model an epidemic ou…

physics.bio-ph2020★ 17 cited

Profile likelihood analysis for a stochastic model of diffusion in heterogeneous media

Matthew J Simpson, Alexander P Browning, Christopher Drovandi +3

We compute profile likelihoods for a stochastic model of diffusive transport motivated by experimental observations of heat conduction in layered skin tissues. This process is mode…