Introducing a Flexible Bivariate Distribution for Dispersed Discrete Data
Kimberly Sellers, Department of Mathematics and Statistics, Georgetown University
The bivariate Poisson distribution is a popular distribution for modeling bivariate count data. Its basic assumptions and marginal equi-dispersion, however, may prove limiting in some contexts. To allow for data dispersion, we develop a bivariate Conway–Maxwell–Poisson (COM–Poisson) distribution that includes the three common bivariate distributions all as special cases. As a result, the bivariate COM–Poisson distribution serves as a flexible alternative and unifying framework for modeling bivariate count data, especially in the presence of data dispersion.
Note: Seminars are free and open to the public. Reception to follow.