Nous obtenons des conditions nécessaires et suffisantes pour qu’un processus gaussien (ou, plus généralement, une distribution aléatoire gaussienne) à plusieurs paramètres possède la propriété markovienne par rapport à la famille des ensembles ouverts.
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.
@article{AIF_1974__24_2_143_0, author = {Kallianpur, G. and Mandrekar, V.}, title = {The Markov property for generalized gaussian random fields}, journal = {Annales de l'Institut Fourier}, volume = {24}, year = {1974}, pages = {143-167}, doi = {10.5802/aif.509}, mrnumber = {53 \#9362}, zbl = {0275.60054}, language = {en}, url = {http://dml.mathdoc.fr/item/AIF_1974__24_2_143_0} }
Kallianpur, G.; Mandrekar, V. The Markov property for generalized gaussian random fields. Annales de l'Institut Fourier, Tome 24 (1974) pp. 143-167. doi : 10.5802/aif.509. http://gdmltest.u-ga.fr/item/AIF_1974__24_2_143_0/
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