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时间序列过去与未来的典型相关：界与计算AI 解读

This paper continues an investigation into the canonical correlations and canonical components of the past and future of a stationary Gaussian time series which were introduced in Jewell and Bloomfield (1983). Bounds for the maximum canonical correlation are provided under specified conditions on the spectrum of the series. A computational scheme is described for estimating the canonical correlations and components and the procedure is illustrated on the well-known sunspot…

时间序列过去与未来的典型相关：定义与理论AI 解读

The concepts of canonical correlations and canonical components are familiar ideas in multivariate statistics. In this paper we extend these notions to stationary time series with a view to determining the most predictable aspect of the future of a time series. We relate properties of the canonical description of a time series to well known structural properties of the series such as (i) rational spectra (i.e., ARMA series), (ii) strong mixing, (iii) absolute regularity, etc.