[HTML][HTML] Inference for the stochastic FitzHugh-Nagumo model from real action potential data via approximate Bayesian computation
Abstract The stochastic FitzHugh-Nagumo (FHN) model is a two-dimensional nonlinear
stochastic differential equation with additive degenerate noise, whose first component, the …
stochastic differential equation with additive degenerate noise, whose first component, the …
Sequential Markov chain Monte Carlo for Lagrangian data assimilation with applications to unknown data locations
We consider a class of high‐dimensional spatial filtering problems, where the spatial
locations of observations are unknown and driven by the partially observed hidden signal …
locations of observations are unknown and driven by the partially observed hidden signal …