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 …