Time series with Poisson point process

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摘要

A transformation based on irregular data in r-dimension is considered in Poisson case. Second order moments are calculated. The behavior of the cross-covariance and dispersion are investigated. Limiting distribution for the suggested transformation is derived. Estimates of the mean and the cross-covariance function are defined. Moments and asymptotic behavior of the mean estimate and cross-covariance estimate is discussed.

论文关键词:Irregular observations,Poisson point process,Asymptotic normality,Stationary time series m-dependence

论文评审过程:Available online 17 April 2003.

论文官网地址:https://doi.org/10.1016/S0096-3003(03)00205-4