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  • 标题:Gaussian Estimation of Parametric Spectral Density with Unknown Pole
  • 本地全文:下载
  • 作者:Liudas Giraitis ; Javier Hidalgo ; Peter M Robinson
  • 期刊名称:Japanese Studies Programme Papers
  • 出版年度:2001
  • 出版社:Suntory Toyota International Centres for Economics and Related Disciplines
  • 摘要:We consider a parametric spectral density with power-law behaviour about a frac-tional pole at the unknown frequency !. The case of known !, especially ! = 0, isstandard in the long memory literature. When ! is unknown, asymptotic distributiontheory for estimates of parameters, including the (long) memory parameter, is signif-icantly harder. We study a form of Gaussian estimate. We establish n.consistencyof the estimate of !, and discuss its (non-standard) limiting distributional behaviour.For the remaining parameter estimates, we establish pn - consistency and asymptoticnormality
  • 关键词:long range dependence; unknown pole
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