Stochastic vectors in modelling risk control operations for supporting intelligent behaviour of information systems
Constantinos T. Artikis, Aggeliki P. Voudouri, Thomas K. Babalis · International Journal of Computational Intelligence Studies · 2015
Random contractions constitute a kind of stochastic multiplicative models with particular theoretical and practical interest. Random sums are also recognised as important stochastic models with very useful applications in a wide variety of theoretical and practical disciplines. The paper concentrates on the formulation of a random vector based on two random sums of random contractions and the establishment of sufficient conditions for evaluating the corresponding characteristic function. Moreover, the paper establishes interesting interpretations of the formulated random vector in some fundamental areas of informatics.