The R package tscount provides likelihood-based estimation methods for analysis and
modeling of count time series following generalized linear models. This is a flexible class of …

We study inference and diagnostics for count time series regression models that include a
feedback mechanism. In particular, we are interested in negative binomial processes for …

We review regression models for count time series. We discuss the approach that is based
on generalized linear models and the class of integer autoregressive processes. The …

Forecasting emergency medical service call arrival rates Page 1 The Annals of Applied
Statistics 2011, Vol. 5, No. 2B, 1379–1406 DOI: 10.1214/10-AOAS442 © Institute of …

We review the theory and application of generalized linear autoregressive moving average
observation-driven models for time series of counts with explanatory variables and describe …

Multivariate count autoregression Page 1 Bernoulli 26(1), 2020, 471–499 https://doi.org/10.3150/19-BEJ1132
Multivariate count autoregression KONSTANTINOS FOKIANOS1, BÅRD STØVE2,*, DAG …

This article studies theory and inference of an observation-driven model for time series of
counts. It is assumed that the observations follow a Poisson distribution conditioned on an …

This paper deals with a general class of observation-driven time series models with a
special focus on time series of counts. We provide conditions under which there exist strict …

Autoregressive models are reviewed for the analysis of multivariate count time series. A
particular topic of interest which is discussed in detail is that of the choice of a suitable …

We consider network autoregressive models for count data with a non-random
neighborhood structure. The main methodological contribution is the development of …