Germ-field Markov property for multiparameter processes
Vidyadhar Mandrekar (1976)
Séminaire de probabilités de Strasbourg
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Vidyadhar Mandrekar (1976)
Séminaire de probabilités de Strasbourg
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Nathalie Eisenbaum, Haya Kaspi (1995)
Séminaire de probabilités de Strasbourg
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G. Kallianpur, V. Mandrekar (1974)
Annales de l'institut Fourier
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We obtain necessary and sufficient conditions in order that a Gaussian process of many parameters (more generally, a generalized Gaussian random field in ) possess the Markov property relative to a class of open sets. The method adopted is the Hilbert space approach initiated by Cartier and Pitt. Applications are discussed.
Louchard, Guy, Prodinger, Helmut (2002)
Discrete Mathematics and Theoretical Computer Science. DMTCS [electronic only]
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Wendelin Werner (1995)
Séminaire de probabilités de Strasbourg
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Eisenbaum, Nathalie (2005)
Electronic Journal of Probability [electronic only]
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Hayri Korezlioglu (1979)
Annales scientifiques de l'Université de Clermont. Mathématiques
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James W. Pitman, Marc Yor (1997)
Séminaire de probabilités de Strasbourg
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