Implicit particle filters for data assimilation update the particles by first choosing
probabilities and then looking for particle locations that assume them, guiding the
particles one by one to the high probability domain. We provide a detailed
description of these filters, with illustrative examples, together with new, more
general, methods for solving the algebraic equations and with a new algorithm for
parameter identification.
Keywords
implicit sampling, data assimilation, particle filter