Time-frequency clustering and discriminant analysis

Robert H. Shumway

Statistics & Probability Letters, 2003, vol. 63, issue 3, 307-314

Abstract: We consider the use of time-varying spectra for classification and clustering of non-stationary time series. In particular, recent developments using local stationarity and Kullback-Leibler discrimination measures of distance are exploited for classifying earthquakes and mining explosions at regional distances.

Keywords: Spectral; analysis; Kullback-Leibler; Seismology; Nuclear; testing; Earthquakes; and; explosions (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (13)

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