Count datasets are traditionally analyzed using the ordinary Poisson distribution. However,
said model has its applicability limited, as it can be somewhat restrictive to handling specific …

This paper proposes a method for analyzing count time series with inflation or deflation of
zeros. In particular, zero-modified Poisson and zero-modified negative binomial series with …

We introduce a count distribution obtained as a discrete analogue of the continuous half-
logistic distribution. It is derived by assigning to each non-negative integer value a …

In this dissertation, we propose new models and efficient algorithms for time series of counts.
The first essay presents a new class of integer-valued autoregressive processes by …

Count data sets are traditionally analyzed using the ordinary Poisson distribution. However,
such a model has its applicability limited as it can be somewhat restrictive to handle specific …