13 citations · 14 across the 5 of their papers we have counts for
5 papers
When do trajectories matter? Identifiability analysis for stochastic transport phenomena
Matthew J Simpson, Michael J Plank
Stochastic models of diffusion are routinely used to study dispersal of populations, including populations of animals, plants, seeds and cells. Advances in imaging and field measur…
Lattice-based stochastic models motivate non-linear diffusion descriptions of memory-based dispersal
Yifei Li, Matthew J Simpson, Chuncheng Wang
The role of memory and cognition in the movement of individuals (e.g. animals) within a population, is thought to play an important role in population dispersal. In response, there…
Mathematical modelling and uncertainty quantification for analysis of biphasic coral reef recovery patterns
David J. Warne, Kerryn Crossman, Grace E. M. Heron +6
Coral reefs are increasingly subjected to major disturbances threatening the health of marine ecosystems. Substantial research underway to develop intervention strategies that assi…
Likelihood-based inference, identifiability and prediction using count data from lattice-based random walk models
Yihan Liu, David J Warne, Matthew J Simpson
In vitro cell biology experiments are routinely used to characterize cell migration properties under various experimental conditions. These experiments can be interpreted using lat…
Efficient inference and identifiability analysis for differential equation models with random parameters
Alexander P. Browning, Christopher Drovandi, Ian W. Turner +2
Heterogeneity is a dominant factor in the behaviour of many biological processes. Despite this, it is common for mathematical and statistical analyses to ignore biological heteroge…