Learning Processes and Information Management Operations Utilising a Class of Random Sums
Constantinos T. Artikis, Panagiotis T. Artikis · Collnet Journal of Scientometrics and Information Management · 2009
The present paper concentrates on a geometric random sum of nonnegative, independent and identically distributed random variables. A stochastic derivation of such a random sum is established. Moreover, the paper provides an interpretation of the nonnegative geometric random sum as a constituent factor of learning processes in evaluating the performance of information risk control operations.