A Bayes formula for Gaussian noise processes and its applications.

Mandal, P.K. and Mandrekar, V. (2000) A Bayes formula for Gaussian noise processes and its applications. SIAM Journal on Control and Optimization, 39 (3). pp. 852-871. ISSN 0363-0129

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Abstract:	An elementary approach is used to derive a Bayes-type formula, extending the Kallianpur--Striebel formula for the nonlinear filters associated with the Gaussian noise processes. In the particular cases of certain Gaussian processes, recent results of Kunita and of Le Breton on fractional Brownian motion are derived. We also use the classical approximation of the Brownian motion by the Ornstein--Uhlenbeck dispersion process to solve the "instrumentability" problem of Balakrishnan. We give precise conditions
Item Type:	Article
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Stochastic Systems and Signals (SST)
Link to this item:	http://purl.utwente.nl/publications/62345
Official URL:	http://dx.doi.org/10.1137/S0363012998343380
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