We develop the filtering theory in the case where both the signal
and the observation are solutions of some stochastic differential equation
driven by a multidimensional fractional Brownian motion. We show that the
classical approach fails to give a closed equation for the filter and we
develop another approach using an auxiliary process-valued semimartingale which
solves this problem theoretically.
@article{1029962865,
author = {Coutin, L. and Decreusefond, L.},
title = {Abstract nonlinear filtering theory in the presence of fractional
Brownian motion},
journal = {Ann. Appl. Probab.},
volume = {9},
number = {1},
year = {1999},
pages = { 1058-1090},
language = {en},
url = {http://dml.mathdoc.fr/item/1029962865}
}
Coutin, L.; Decreusefond, L. Abstract nonlinear filtering theory in the presence of fractional
Brownian motion. Ann. Appl. Probab., Tome 9 (1999) no. 1, pp. 1058-1090. http://gdmltest.u-ga.fr/item/1029962865/