@article{zu213248,
          number = {17},
           title = {T-Convolution and its applications to n-dimensional distributions},
          author = {A. A. Pogorui and D. ?. Kovalen?o and Ram{\'o}n ?. Rodr{\'i}guez-Dagn?no},
       publisher = {ROSE},
            year = {2009},
           pages = {349--363},
         journal = {Stochastic Eqs},
             url = {http://eprints.zu.edu.ua/13248/},
        abstract = {In this paper we introduce the notion of T-convolution, which is a generalization of
convolution to higher dimensions. By using T-convolution we construct n-dimensional distributions
having n+1 axes of symmetry. In addition, we can generalize well-known symmetric
probability distributions in one dimension to higher dimensions. In particular, we consider
generalizations of Laplace and triangle continuous distributions and we show their plots in the
two-dimensional case. As an example of discrete distributions, we study the T-convolution of
Poisson distributions in the plane.}
}