A New Factorization Property of the Selfdecomposable Probability Measures
Probability
2010-09-21 v1
Abstract
We prove that the convolution of a selfdecomposable distribution with its background driving law is again selfdecomposable if and only if the background driving law is s-selfdecomposable. We will refer to this as the \textit{factorization property} of a selfdecomposable distribution; let denote the set of all these distributions. The algebraic structure and various characterizations of are studied. Some examples are discussed, the most interesting one being given by the L\'evy stochastic area integral. A nested family of subclasses (or a filtration) of the class is given.
Keywords
Cite
@article{arxiv.1009.3545,
title = {A New Factorization Property of the Selfdecomposable Probability Measures},
author = {A. M. Iksanov and Z. J. Jurek and B. M. Schreiber},
journal= {arXiv preprint arXiv:1009.3545},
year = {2010}
}