Spectrum decomposition for stationary weakly isotropic random fields with bounded range interactions
Antonín Otáhal (1984)
Kybernetika
Similarity:
Antonín Otáhal (1984)
Kybernetika
Similarity:
M'hammed Baba Harra (1997)
Applicationes Mathematicae
Similarity:
Given a realization on a finite interval of a continuous-time stationary process, we construct estimators for higher order spectral densities. Tapering and shift-in-time methods are used to build estimators which are asymptotically unbiased and consistent for all admissible values of the argument. Asymptotic results for the fourth-order densities are given. Detailed attention is paid to the nth order case.
Emil Pelikán (1984)
Kybernetika
Similarity:
Jacek Bojarski, Jolanta K. Misiewicz (2003)
Discussiones Mathematicae Probability and Statistics
Similarity:
In this paper, we study basic properties of symmetric stable random vectors for which the spectral measure is a copula, i.e., a distribution having uniformly distributed marginals.
Kozubowski, Tomasz, Podgórski, Krzysztof (1999)
Serdica Mathematical Journal
Similarity:
Let (Xi ) be a sequence of i.i.d. random variables, and let N be a geometric random variable independent of (Xi ). Geometric stable distributions are weak limits of (normalized) geometric compounds, SN = X1 + · · · + XN , when the mean of N converges to infinity. By an appropriate representation of the individual summands in SN we obtain series representation of the limiting geometric stable distribution. In addition, we study...
Catherine Donati-Martin, Shiqi Song, Marc Yor (1994)
Annales de l'I.H.P. Probabilités et statistiques
Similarity:
Aleksander Janicki (1999)
Applicationes Mathematicae
Similarity:
We present a method of numerical approximation for stochastic integrals involving α-stable Lévy motion as an integrator. Constructions of approximate sums are based on the Poissonian series representation of such random measures. The main result gives an estimate of the rate of convergence of finite-dimensional distributions of finite sums approximating such stochastic integrals. Stochastic integrals driven by such measures are of interest in constructions of models for various problems...