Abstract
The theory of Markovian Representation is set forth in an abstract Hilbert space setting. This enables us to completely characterize the set of all (finite or infinite-dimensional) Markovian Representations of a given (stationary) Gaussian process. The paper discusses when Markovian Representations can be studied by means of functional models in the Hardy space. It is shown that it is the case for all the Minimal Markovian Representations of a strictly noncyclic process. Hence, new results on their structure can be derived.
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© 1983 D. Reidel Publishing Comapany
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Ruckebusch, G. (1983). On the Structure of Minimal Markovian Representations. In: Bucy, R.S., Moura, J.M.F. (eds) Nonlinear Stochastic Problems. NATO ASI Series, vol 104. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-7142-4_10
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DOI: https://doi.org/10.1007/978-94-009-7142-4_10
Publisher Name: Springer, Dordrecht
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