Explicit representation of finite predictor coefficients and its applications
成果类型:
Article
署名作者:
Inoue, Akihiko; Kasahara, Yukio
署名单位:
Hokkaido University
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
DOI:
10.1214/009053606000000209
发表日期:
2006
页码:
973-993
关键词:
partial autocorrelation functions
fractional arima processes
STOCHASTIC-PROCESSES
interpolation
摘要:
We consider the finite-past predictor coefficients of stationary time series, and establish an explicit representation for them, in terms of the MA and AR coefficients. The proof is based on the alternate applications of projection operators associated with the infinite past and the infinite future. Applying the result to long memory processes, we give the rate of convergence of the finite predictor coefficients and prove an inequality of Baxter-type.