Ying Li, Ta-Hsin Li, et al.
International Journal of Business Process Integration and Management
Two periodogram-like functions, called quantile periodograms, are introduced for spectral analysis of time series. The quantile periodograms are constructed from trigonometric quantile regression and motivated by different interpretations of the ordinary periodogram. Analytical and numerical results demonstrate the capability of the quantile periodograms for detecting hidden periodicity in the quantiles and for providing an additional view of time-series data. A connection between the quantile periodograms and the so-called level-crossing spectrum is established through an asymptotic analysis. © 2012 American Statistical Association.
Ying Li, Ta-Hsin Li, et al.
International Journal of Business Process Integration and Management
Ta-Hsin Li, Kai-Sheng Song
IEEE TSP
Ta-Hsin Li
Journal of Time Series Analysis
Ta-Hsin Li, Rong Liu, et al.
SCC 2014