Nonparametric estimation of a posteriori distributions in nonlinear filtering (Q1178556)

The authors consider numerical methods for the nonparametric estimation of an posteriori probability density that is the conditional density for a nonlinear filtering problem. They use high-accuracy methods of numerical integration of ordinary differential equations and for discrete Fourier transform to reduce the amount of computations is compared to conventional methods.