Abstract
Integer autoregressive processes (INAR) play a vital role in the modeling of count series. In this project, we integrate a random environment that follows a state-space evolution into McKenzie's (1985) univariate INAR(1) model, and call our model Dynamic Multivariate INAR(1). The random environment provides an efficient and scalable multivariate generalization of the univariate INAR(1) mo…