A discrete compound channel with memory is considered, where no stationarity, ergodicity or information stability is required, and where the uncertainty set can be arbitrary. When the discrete noise is additive but otherwise ...

We consider a log-linear model for time series of counts. This type of model provides a framework where both negative and positive association can be taken into account. In addition time dependent covariates are accommodated ...

We consider a networked system in which each component (node) iteratively exchanges information with its neighbors according to an arbitrary, possibly directed topology. Based on an iterative exchange of (local and possibly ...

We reviewsome regression models for the analysis of count time series. These models have been the focus of several investigations over the last years, but only recently simple conditions for stationarity and ergodicity ...