A new approximation method for nonlinear filtering using nilpotent harmonic analysis
The authors use techniques of nilpotent harmonic analysis to introduce a new type of lifting of the discrete time unnormalized conditional density equation. The main result is that under certain broad conditions the information contained in a conditional statistic is also contained fin an associated statistic of a certain nonhomogeneous Markov process, with observations as driving noise.<<ETX>>