Ta-Hsin Li, Leah Kamin, et al.
BMC Health Services Research
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.
Ta-Hsin Li, Leah Kamin, et al.
BMC Health Services Research
Ta-Hsin Li
EUSIPCO 2010
Ta-Hsin Li
JRSSC: Applied Statistics
Ta-Hsin Li, Kai-Sheng Song
IEEE TSP