State space partitioning based on constrained spectral clustering for block particle filtering

Rui Min, Christelle Garnier, François Septier +1

The particle filter (PF) is a powerful inference tool widely used to estimate the filtering distribution in non-linear and/or non-Gaussian problems. To overcome the curse of dimens…