作者: Ed Mckenzie
DOI: 10.2307/1427362
关键词: Autoregressive–moving-average model 、 Binomial distribution 、 Applied mathematics 、 Time reversibility 、 Marginal distribution 、 Mathematics 、 Compound Poisson process 、 Joint probability distribution 、 Statistics 、 Poisson distribution 、 Autoregressive model
摘要: A family of models for discrete-time processes with Poisson marginal distributions is developed and investigated. They have the same correlation structure as the linear ARMA processes. The joint distribution of n consecutive observations in such a process is derived and its properties discussed. In particular, time-reversibility and asymptotic behaviour are considered in detail. A vector autoregressive process is constructed and the behaviour of its components, which are Poisson ARMA processes, is considered. In particular, the two-dimensional case is discussed in detail.