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Quantile spectral analysis and long-memory time series
Published online by Cambridge University Press: 14 July 2016
Abstract
An approach to time series model identification is described which involves the simultaneous use of frequency, time and quantile domain algorithms; the approach is called quantile spectral analysis. It proposes a framework to integrate the analysis of long-memory (non-stationary) time series with the analysis of short-memory (stationary) time series.
Keywords
- Type
- Part 1—Structure and General Methods for Time Series
- Information
- Journal of Applied Probability , Volume 23 , Issue A: Essays in Time Series and Allied Processes , 1986 , pp. 41 - 54
- Copyright
- Copyright © 1986 Applied Probability Trust
References
- 6
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