3 papers
stat.ME2026
Parameter Estimation for Differential Equation Models Using Generalized Profiling: A Computational Tutorial
Matthew J Simpson, James S Bennett, Alexander Johnston +1
Parameter estimation connects mathematical models to real-world data and decision making across many scientific and industrial applications. Standard approaches such as maximum lik…
stat.ME2025
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…
stat.ME2024
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…