AbstractThe problem of the characterization of multivariate distribution through the property of the zero regression of linear statistic on another one was posed by C. R. Rao. The characterization of probability distributions with independent operator-semistable components by this property is given
AbstractStrictly operator-stable distributions are defined and discussed. Characterization of strict...
AbstractIt is established that a vector (X′1, X′2, …, X′k) has a multivariate normal distribution if...
AbstractWe introduce the notion of semistable processes and semistable random measures; and give a c...
AbstractThe problem of the characterization of multivariate distribution through the property of the...
The problem of the characterization of multivariate distribution through the property of the zero re...
AbstractLet μ be an infinitely divisible measure on a finite dimensional vector space. The problem o...
AbstractOperator-stable laws and operator-semistable laws (introduced as limit distributions by M. S...
AbstractA description of the class of semistable measures on a real separable Hilbert space is given
AbstractIt is shown that every genuinely d-dimensional operator-self-decomposable distribution is ab...
The moments of operator-valued semicircular distribution are calculated and a new relation between r...
AbstractIn this paper we define semi-stable probability measures (laws) on a real separable Hilbert ...
AbstractSharpe has shown that full operator-stable distributions μ on Rn are infinitely divisible an...
AbstractThis paper contains three main results: In the first result a correspondence principle betwe...
AbstractA sequence of independent, identically distributed random vectors X1, X2, X3,… is said to be...
AbstractSharpe investigated the structure of full operator-stable measures μ on a vector group V and...
AbstractStrictly operator-stable distributions are defined and discussed. Characterization of strict...
AbstractIt is established that a vector (X′1, X′2, …, X′k) has a multivariate normal distribution if...
AbstractWe introduce the notion of semistable processes and semistable random measures; and give a c...
AbstractThe problem of the characterization of multivariate distribution through the property of the...
The problem of the characterization of multivariate distribution through the property of the zero re...
AbstractLet μ be an infinitely divisible measure on a finite dimensional vector space. The problem o...
AbstractOperator-stable laws and operator-semistable laws (introduced as limit distributions by M. S...
AbstractA description of the class of semistable measures on a real separable Hilbert space is given
AbstractIt is shown that every genuinely d-dimensional operator-self-decomposable distribution is ab...
The moments of operator-valued semicircular distribution are calculated and a new relation between r...
AbstractIn this paper we define semi-stable probability measures (laws) on a real separable Hilbert ...
AbstractSharpe has shown that full operator-stable distributions μ on Rn are infinitely divisible an...
AbstractThis paper contains three main results: In the first result a correspondence principle betwe...
AbstractA sequence of independent, identically distributed random vectors X1, X2, X3,… is said to be...
AbstractSharpe investigated the structure of full operator-stable measures μ on a vector group V and...
AbstractStrictly operator-stable distributions are defined and discussed. Characterization of strict...
AbstractIt is established that a vector (X′1, X′2, …, X′k) has a multivariate normal distribution if...
AbstractWe introduce the notion of semistable processes and semistable random measures; and give a c...
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