EUDML | Measures and Markov processes on function spaces

Skip to main content (access key 's'), Skip to navigation (access key 'n'), Accessibility information (access key '0')

Displaying similar documents to “Measures and Markov processes on function spaces”

The Markov property for generalized gaussian random fields

G. Kallianpur, V. Mandrekar (1974)

Annales de l'institut Fourier

Similarity:

We obtain necessary and sufficient conditions in order that a Gaussian process of many parameters (more generally, a generalized Gaussian random field in $R^{n}$ ) 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.

A connection between Gaussian processes and Markov processes.

Eisenbaum, Nathalie (2005)

Electronic Journal of Probability [electronic only]

Similarity:

Germ-field Markov property for multiparameter processes

Vidyadhar Mandrekar (1976)

Séminaire de probabilités de Strasbourg

Similarity:

Multiplicative excessive measures and duality between equations of Boltzmann and of branching processes

Masao Nagasawa (1975)

Séminaire de probabilités de Strasbourg

Similarity:

Two-parameter gaussian Markov processes and their recursive linear filtering

Hayri Korezlioglu (1979)

Annales scientifiques de l'Université de Clermont. Mathématiques

Similarity:

Trapping a measure-valued Markov branching process conditioned on non-extinction

Steven N. Evans (1991)

Annales de l'I.H.P. Probabilités et statistiques

Similarity:

Remarks on Palm Measures

Donald Geman, Joseph Horowitz (1973)

Annales de l'I.H.P. Probabilités et statistiques

Similarity: