Negative Binomial Models for Longitudinal and Sparse Data

Longitudinal count data such as traffic flows data and email data are sometimes over-dispersed and sparse with an exceeded number of zeros, which are often challenging to be modeled. In this dissertation, I make solid contributions to the statistical modeling of longitudinal and sparse longitudinal responses with applications to traffic flows data and email data.