Some results on the continuity of stable processes and the domain of attraction of continuous stable processes
M. B. Marcus, G. Pisier (1984)
Annales de l'I.H.P. Probabilités et statistiques
Similarity:
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
The search session has expired. Please query the service again.
M. B. Marcus, G. Pisier (1984)
Annales de l'I.H.P. Probabilités et statistiques
Similarity:
H. Kesten, M. V. Kozlov, F. Spitzer (1975)
Compositio Mathematica
Similarity:
Franciszek Czekała (1996)
Applicationes Mathematicae
Similarity:
The paper is concerned with the asymptotic normality of a certain statistic based on the logarithms of disjoint m-spacings. The exact and asymptotic mean and variance are computed in the case of uniform distribution on the interval [0,1]. This result is generalized to the case when the sample is drawn from a distribution with positive step density on [0,1].
M. Fisz (1954)
Studia Mathematica
Similarity:
N. Guillotin (2000)
Annales de l'I.H.P. Probabilités et statistiques
Similarity:
Klebanov, Lev, Rachev, Svetlozar (1996)
Serdica Mathematical Journal
Similarity:
* Research supported by NATO GRANT CRG 900 798 and by Humboldt Award for U.S. Scientists. In this paper a general theory of a random number of random variables is constructed. A description of all random variables ν admitting an analog of the Gaussian distribution under ν-summation, that is, the summation of a random number ν of random terms, is given. The v-infinitely divisible distributions are described for these ν-summations and finite estimates of the approximation of ν-sum...
Richard Bass, Xia Chen, Jay Rosen (2009)
Annales de l'I.H.P. Probabilités et statistiques
Similarity:
We study functionals of the form = ⋯ | ( )+⋯+ ( )| d ⋯ d , where (), …, () are i.i.d. -dimensional symmetric stable processes of index 0<≤2. We obtain results about the large deviations and laws of the iterated logarithm for .