14 citations · 24 across the 2 of their papers we have counts for
5 papers
Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19
Yuting I. Li, Günther Turk, Paul B. Rohrbach +12
Epidemiological forecasts are beset by uncertainties about the underlying epidemiological processes, and the surveillance process through which data are acquired. We present a Baye…
Stochastic action for tubes: Connecting path probabilities to measurement
Julian Kappler, Ronojoy Adhikari
The trajectories of diffusion processes are continuous but non-differentiable, and each occurs with vanishing probability. This introduces a gap between theory, where path probabil…
Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library
R. Adhikari, Austen Bolitho, Fernando Caballero +15
PyRoss is an open-source Python library that offers an integrated platform for inference, prediction and optimisation of NPIs in age- and contact-structured epidemiological compart…
Molecular interpretation of the non-Newtonian viscoelastic behavior of liquid water at high frequencies
Julius C. F. Schulz, Alexander Schlaich, Matthias Heyden +2
Using classical as well as ab-initio molecular dynamics simulations, we calculate the frequency-dependent shear viscosity of pure water and water-glycerol mixtures. In agreement wi…
Non-Markovian barrier crossing with two-time-scale memory is dominated by the faster memory component
Julian Kappler, Victor B. Hinrichsen, Roland R. Netz
We investigate non-Markovian barrier-crossing kinetics of a massive particle in one dimension in the presence of a memory function that is the sum of two exponentials with differen…