A popular way to model overdispersed count data, such as the number of falls reported during intervention studies, is by means of the negative binomial (NB) distribution. Classical estimating methods ...

We present a method for estimating event-count models when the data is generated from a persistent time-series process. A Kalman filter is used to estimate a Poisson exponentially weighted moving ...