Journal of Applied Probability · 1990 · 292 citations · 14 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesCount Data ModelsCounting ProcessesCounting StatisticsDiscrete-time Stochastic ProcessesMarkov ProcessesPoisson ProcessesAutoregressive ProcessesCounting Process ModelsDiscrete Joint DistributionsEvent Count ModelsInteger-valued Autoregressive ModelsRandom Counting Processes
An extension of the INAR(1) process which is useful for modelling discrete-time dependent counting processes is considered. The model investigated here has a form similar to that of the Gaussian AR( p ) process, and is called the integer-valued p th-order autoregressive structure (INAR( p )) process. Despite the similarity in form, the two processes differ in many aspects such as the behaviour of the correlation, Markovian property and regression. Among other aspects of the INAR( p ) process investigated here are the limiting as well as the joint distributions of the process. Also, some detailed discussion is given for the case in which the marginal distribution of the process is Poisson.
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Introduction to Statistical Time Series
James T. McClave, Wayne A. Fuller · Technometrics · 1978 · 4.3K citations