3 papers
q-bio.QM2025
UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models
Andrei Kramer, Federica Milinanni, Jeanette Hellgren Kotaleski +3
Biochemical reaction models describing subcellular processes generally come with a large uncertainty. To be able to account for this during the modeling process, we have developed…
math.PR2025
A weak convergence approach to large deviations for stochastic approximations
Henrik Hult, Adam Lindhe, Pierre Nyquist +1
The theory of stochastic approximations form the theoretical foundation for studying convergence properties of many popular recursive learning algorithms in statistics, machine lea…
math.NA2024
Sensitivity Approximation by the Peano-Baker Series
Olivia Eriksson, Andrei Kramer, Federica Milinanni +1
In this paper we develop a new method for numerically approximating sensitivities in parameter-dependent ordinary differential equations (ODEs). Our approach, intended for situatio…