On filtering over Îto–Volterra observations

On filtering over Îto–Volterra observations

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Article ID: iaor20013490
Country: United States
Volume: 13
Issue: 4
Start Page Number: 347
End Page Number: 364
Publication Date: Oct 2000
Journal: Journal of Applied Mathematics and Stochastic Analysis
Authors:
Keywords: Kalman filter
Abstract:

In this paper, the Kalman–Bucy filter is designed for an Îto–Volterra process over Ito–Volterra observations that cannot be reduced to the case of a differential observation equation. The Kalman–Bucy filter is then designed for an Ito–Volterra process over discontinuous Ito–Volterra observations. Based on the obtained results, the filtering problem over discrete observations with delays is solved. Proofs of the theorems substantiating the filtering algorithms are given.

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