Abstract
Part I is devoted to a class of discrete-time processes that are the generalization of Markov chains with a finite or denumerable number of states. Their transition probabilities, martingale representations in forward and backward time, the stochastic measures they generate are studied.
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Translated from Avtomatika i Telemekhanika, No. 6, 2005, pp. 114–125.
Original Russian Text Copyright © 2005 by Borisov, Miller.
This work was supported by INTAS, project no. YSF 04-83-3623.
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Borisov, A.V., Miller, G.B. Analysis and Filtration of Special Discrete-Time Markov Processes. I. Martingale Representation. Autom Remote Control 66, 953–962 (2005). https://doi.org/10.1007/s10513-005-0138-6
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DOI: https://doi.org/10.1007/s10513-005-0138-6