Discrete Appoximation in the Innovation Theory of Second-order Continuous Processes
Zoran Ivković (1989)
Publications de l'Institut Mathématique
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Zoran Ivković (1989)
Publications de l'Institut Mathématique
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Ivković, Zoran (1989)
Publications de l'Institut Mathématique. Nouvelle Série
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Mitrović, Slobodanka (1985)
Publications de l'Institut Mathématique. Nouvelle Série
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Gill, J., Salehi, H. (1988)
Publications de l'Institut Mathématique. Nouvelle Série
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Mitrović, S. (1986)
Publications de l'Institut Mathématique. Nouvelle Série
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Iglói, E., Terdik, G. (1999)
Electronic Journal of Probability [electronic only]
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Pazanin, R. (1981)
Publications de l'Institut Mathématique. Nouvelle Série
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Swift, Randall J. (2000)
Portugaliae Mathematica
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Andrzej Makagon (1999)
Studia Mathematica
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A one-to-one correspondence between locally square integrable periodically correlated (PC) processes and a certain class of infinite-dimensional stationary processes is obtained. The correspondence complements and clarifies Gladyshev's known result [3] describing the correlation function of a continuous periodically correlated process. In contrast to Gladyshev's paper, the procedure for explicit reconstruction of one process from the other is provided. A representation of a PC process...
G. Corach, J. I. Giribet, A. Maestripieri (2009)
Studia Mathematica
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Three problems arising in approximation theory are studied. These problems have already been studied by Arthur Sard. The main goal of this paper is to use geometrical compatibility theory to extend Sard's results and get characterizations of the sets of solutions.
Alok Goswami (1990)
Séminaire de probabilités de Strasbourg
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Petr Volf (2000)
Kybernetika
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The notion of the counting process is recalled and the idea of the ‘cumulative’ process is presented. While the counting process describes the sequence of events, by the cumulative process we understand a stochastic process which cumulates random increments at random moments. It is described by an intensity of the random (counting) process of these moments and by a distribution of increments. We derive the martingale – compensator decomposition of the process and then we study the estimator...