Abstract:
A method is proposed for recurrent parameter estimation in a nonstationary Poisson flow where the unknown flow function is represented as a linear form of a finitenumber
of linearly independent time functions with unknown coefficients. An algorithm is described whereby the maximum likelihood estimates are computed for the
vector of unknown coefficients.