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Filtering for fractional stochastic heat equation

Publication at Faculty of Mathematics and Physics |
2019

Abstract

Linear ltering problem for innite-dimensional Gaussian processes with nite - dimensional observation process is studied. Integral equations for the lter and for covariance of the error are derived.

General results are applied to a stochastic evolution equation driven by cylindrical fractional Brownian motion observed at nitely many points on an unbounded domain.