19 citations · 37 across the 6 of their papers we have counts for
3 papers · 1 filter
Efficient inference for differential equation models without numerical solvers
Alexander Johnston, Ruth E. Baker, Matthew J. Simpson
Parameter inference is essential when interpreting observational data using mathematical models. Standard inference methods for differential equation models typically rely on obtai…
Random walk models in the life sciences: including births, deaths and local interactions
Michael J. Plank, Matthew J. Simpson, Ruth E. Baker
Random walks and related spatial stochastic models have been used in a range of application areas including animal and plant ecology, infectious disease epidemiology, developmental…
Parameter identifiability, parameter estimation and model prediction for differential equation models
Matthew J Simpson, Ruth E Baker
Interpreting data with mathematical models is an important aspect of real-world industrial and applied mathematical modeling. Often we are interested to understand the extent to wh…