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07/03/2023
Understanding the impact of numerical solvers on inference for differential equation models
Most ordinary differential equation (ODE) models used to describe biolog...
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02/06/2023
Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics
When mathematical biology models are used to make quantitative predictio...
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01/13/2020
Considering discrepancy when calibrating a mechanistic electrophysiology model
Uncertainty quantification (UQ) is a vital step in using mathematical mo...
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12/18/2018
Probabilistic Inference on Noisy Time Series (PINTS)
Time series models are ubiquitous in science, arising in any situation w...
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05/25/2018
