Multivariate Count Time Series Modelling

Autoregressive models are reviewed for the analysis of multivariate count time series. A particular topic interest which is discussed in detail that choice a suitable distribution vectors random variables. The focus on three main approaches taken series analysis: (a) integer autoregressive processes, (b) parameter-driven and (c) observation-driven models. aim to highlight some recent methodological developments propose potentially useful research topics.