Speaker
Johannes Zierenberg
(MPIDS)
Description
We present a framework using automatic differentiation with JAX to estimate the parameters of a dynamical system within a Bayesian framework and showcase two examples. First, we estimate the time-dependent reproduction number underlying COVID-19 cases in the UK. Second, we infer the most probable times of decision-making in a cognitive experiment. Our framework thereby provides a systematic approach to quantify uncertainty in dynamical systems described by differential equations.
Primary authors
Mr
Jonas Dehning
Johannes Zierenberg
(MPIDS)
Prof.
Viola Priesemann
