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Physical Review. E|February 20, 2026
Continuum models describing probabilistic motion of tagged agents in exclusion processesMichael J Plank, Matthew J SimpsonJournal of the Royal Society, Interface|June 15, 2012
Models of collective cell behaviour with crowding effects: comparing lattice-based and lattice-free approachesMichael J Plank, Matthew J SimpsonPlos Computational Biology|January 20, 2023
Geometric analysis enables biological insight from complex non-identifiable models using simple surrogatesAlexander P Browning, Matthew J SimpsonPhysical Review. E, Statistical, Nonlinear, and Soft Matter Physics|September 17, 2013
Quantifying spatial structure in experimental observations and agent-based simulations using pair-correlation functionsBenjamin J Binder, Matthew J SimpsonThe Journal of Chemical Physics|February 3, 2019
New homogenization approaches for stochastic transport through heterogeneous mediaElliot J Carr, Matthew J SimpsonJournal of Mathematical Biology|April 24, 2025
Lattice-based stochastic models motivate non-linear diffusion descriptions of memory-based dispersalYifei Li, Matthew J Simpson, Chuncheng WangJournal of Theoretical Biology|April 16, 2026
Likelihood-Free Parameter Inference for Spatiotemporal Stochastic Biological Models using Neural Posterior EstimationTom Kimpson, Jennifer Flegg, Matthew J SimpsonJournal of Theoretical Biology|February 27, 2018
Extended logistic growth model for heterogeneous populationsWang Jin, Scott W McCue, Matthew J SimpsonJournal of Theoretical Biology|December 29, 2025
Parameter-wise predictions and sensitivity analysis for random walk models in the life sciencesYihan Liu, David J Warne, Matthew J SimpsonPhysical Review. E|November 20, 2024
Likelihood-based inference, identifiability, and prediction using count data from lattice-based random walk modelsYihan Liu, David J Warne, Matthew J SimpsonPageof 18