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stat.ME2025
Approximate Bayesian computation for stochastic hybrid systems with empirically observed ergodic behaviour
Sascha Desmettre, Agnes Mallinger, Amira Meddah +1
Piecewise diffusion Markov processes (PDifMPs) form a versatile class of stochastic hybrid systems that combine continuous diffusion processes with discrete event-driven dynamics,…
stat.ME2023★ 5 cited
Network inference via approximate Bayesian computation. Illustration on a stochastic multi-population neural mass model
Susanne Ditlevsen, Massimiliano Tamborrino, Irene Tubikanec
In this article, we propose an adapted sequential Monte Carlo approximate Bayesian computation (SMC-ABC) algorithm for network inference in coupled stochastic differential equation…