39 citations · 92 across the 6 of their papers we have counts for
6 papers
Mechanical analysis of a dynamical phase transition for particles in a channel
Jakub Dolezal, Robert L. Jack
We analyse biased ensembles of trajectories for a two-dimensional system of particles, evolving by Langevin dynamics in a channel geometry. This bias controls the degree of particl…
Long-ranged correlations in large deviations of local clustering
Jakub Dolezal, Robert L. Jack
In systems of diffusing particles, we investigate large deviations of a time-averaged measure of clustering around one particle. We focus on biased ensembles of trajectories, which…
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…
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…
Large deviations and optimal control forces for hard particles in one dimension
Jakub Dolezal, Robert L. Jack
We analyse large deviations of the dynamical activity in one-dimensional systems of diffusing hard particles. Using an optimal-control representation of the large-deviation problem…
Predicting the dynamics of bacterial growth inhibition by ribosome-targeting antibiotics
Philip Greulich, Jakub Dolezal, Matthew Scott +2
Understanding how antibiotics inhibit bacteria can help to reduce antibiotic use and hence avoid antimicrobial resistance - yet few theoretical models exist for bacterial growth in…