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Journal 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 SimpsonBulletin of Mathematical Biology|March 1, 2019
Using Experimental Data and Information Criteria to Guide Model Selection for Reaction-Diffusion Problems in Mathematical BiologyDavid J Warne, Ruth E Baker, Matthew J SimpsonBiophysical Journal|October 17, 2017
Optimal Quantification of Contact Inhibition in Cell PopulationsDavid J Warne, Ruth E Baker, Matthew J SimpsonJournal of the Royal Society, Interface|April 9, 2019
Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-artDavid J Warne, Ruth E Baker, Matthew J SimpsonJournal of Theoretical Biology|April 1, 2020
A practical guide to pseudo-marginal methods for computational inference in systems biologyDavid J Warne, Ruth E Baker, Matthew J SimpsonJournal of the Royal Society, Interface|December 16, 2020
Identifiability analysis for stochastic differential equation models in systems biologyAlexander P Browning, David J Warne, Kevin Burrage, et al.Journal of Theoretical Biology|January 1, 2022
Parameter identifiability and model selection for sigmoid population growth modelsMatthew J Simpson, Alexander P Browning, David J Warne, et al.Journal of the Royal Society, Interface|December 7, 2022
Computationally efficient framework for diagnosing, understanding and predicting biphasic population growthRyan J Murphy, Oliver J Maclaren, Alivia R Calabrese, et al.Bulletin of Mathematical Biology|August 12, 2025
Mathematical Modelling and Uncertainty Quantification for Analysis of Biphasic Coral Reef Recovery PatternsDavid J Warne, Kerryn Crossman, Grace E M Heron, et al.Pageof 51