538 citations · 1.5k across the 32 of their papers we have counts for
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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…
Efficient and flexible methods for time since infection models
Joseph D. Peterson, Ronojoy Adhikari
Epidemic models are useful tools in the fight against infectious diseases, as they allow policy makers to test and compare various strategies to limit disease transmission while mi…
Sojourn probabilities in tubes and pathwise irreversibility for Itô processes
Julian Kappler, Michael E. Cates, Ronojoy Adhikari
The sojourn probability of an Itô diffusion process, i.e. its probability to remain in the tubular neighborhood of a smooth path, is a central quantity in the study of path probabi…
Measurement of irreversibility and entropy production via the tubular ensemble
Julian Kappler, Ronojoy Adhikari
The appealing theoretical measure of irreversibility in a stochastic process, as the ratio of the probabilities of a trajectory and its time reversal, cannot be accessed directly i…
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…