2 papers
stat.CO2026
A Framework for the Bayesian Calibration of Complex and Data-Scarce Models in Applied Sciences
Christina Schenk, Ignacio Romero
In this work, we review the theory involved in the Bayesian calibration of complex computer models, with particular emphasis on their use for applications involving computationally…
math.AP2025
Bayesian Calibration and Model Assessment of Cell Migration Dynamics with Surrogate Model Integration
Christina Schenk, Jacobo Ayensa Jiménez, Ignacio Romero
Computational models provide crucial insights into complex biological processes such as cancer evolution, but their mechanistic nature often makes them nonlinear and parameter-rich…