Likelihood Ratios for Time-Continuous Data Models: The White Noise Approach.

摘要

This document develops a formula for likelihood functionals for signals in additive noise in the time-continuous case using a white noise approach. It is shown that the formula differs from the well-known formula in the Wiener process version by the appearance of an additional term corresponding to the conditional mean square filtering error.