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  • 标题:The Taylor property in bilinear models
  • 本地全文:下载
  • 作者:E. Gonçalves ; C.M. Martins ; N. Mendes-Lopes.
  • 期刊名称:RevStat : Statistical Journal
  • 印刷版ISSN:1645-6726
  • 出版年度:2015
  • 卷号:13
  • 期号:3
  • 页码:207-226
  • 出版社:Instituto Nacional de Estatística
  • 摘要:The aim of this paper is to discuss the presence of the Taylor property in the class of simple bilinear mo dels. Considering strictly and weakly stationary models, we deduce autocorrelations of the pro cess and of its square and analyze the presence of the Taylor property in non-negative bilinear models considering several error process distributions, which are chosen according to the kurtosis value. For each one of these error process distributions, the class of parameterizations for the corresponding bilinear model satisfying Taylor property is obtained. The analysis of the relationship between the Taylor property and leptokurtosis in these bilinear processes allows to conclude that this property is a consequence of heavy tailed model distributions. With the goal of extending this research to real valued bilinear mo dels, a simulation study is developed in a class of such models with symmetrical innovations.
  • 关键词:bilinear models; nonlinear time series; stationarity; Taylor property
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