2 papers
stat.ME2025
A likelihood-based Bayesian inference framework for the calibration of and selection between stochastic velocity-jump models
Arianna Ceccarelli, Alexander P. Browning, Tai Chaiamarit +2
Advances in experimental techniques allow the collection of high-resolution spatio-temporal data that track individual motile entities. These tracking data can be used to calibrate…
physics.data-an2025
Approximate solutions of a general stochastic velocity-jump model subject to discrete-time noisy observations
Arianna Ceccarelli, Alexander P. Browning, Ruth E. Baker
Advances in experimental techniques allow the collection of high-resolution spatio-temporal data that track individual motile entities over time. These tracking data motivate the u…