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stat.CO2024
Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation
Adeline Samson, Massimiliano Tamborrino, Irene Tubikanec
The stochastic FitzHugh-Nagumo (FHN) model is a two-dimensional nonlinear stochastic differential equation with additive degenerate noise, whose first component, the only one obser…
stat.CO2019
Spectral Density-Based and Measure-Preserving ABC for partially observed diffusion processes. An illustration on Hamiltonian SDEs
Evelyn Buckwar, Massimiliano Tamborrino, Irene Tubikanec
Approximate Bayesian Computation (ABC) has become one of the major tools of likelihood-free statistical inference in complex mathematical models. Simultaneously, stochastic differe…