Description: During the last decade, a vast activity had been observed in generalizing of the classical discrete distributions. The main idea was to apply the extended versions fur modeling different kinds of dependent count or frequency data structure in various fields. In the present paper we suggest extensions of the classical univariate geometric, negative binomial, Poisson, Bernoulli, binomial and logarithmic series distributions, by including an additional parameter. It has a natural interpretation in terms of zero-inflation, and because of this we named the corresponding generalized versions adding inflated-parameter.

Description: Two breakout sessions were held. Their goal was to explore ways in which researchers and practitioners could be brought closer together. The following summaries were edited by Stuart Klugman from notes taken by the indicated participants: Session #1 - Bridging the gap with regard to modality and morbidity and Session #2 - Bridging the gap with regard to financial modeling.