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SUMMARY:Long Memory Networks in Climatological Studies - Ed Bullmore (Univ
 ersity of Cambridge\; Dept of Psychiatry)
DTSTART:20081002T093000Z
DTEND:20081002T103000Z
UID:TALK13111@talks.cam.ac.uk
CONTACT:Christian Franzke
DESCRIPTION:Multivariate long memory networks have demonstrated a regime o
 f scale invariant correlation between constituent nodes in modeled dataset
 s of neurophysiological processes and financial time series. Studies have 
 concluded that fractal connectivity is a common property of diverse dynami
 c systems which can be well predicted and estimated by Taylor expansion of
  the wavelet correlation spectrum. The authors believe that this technique
  could be applied to identify correlations in climatological analysis and 
 serve as a predictive tool.
LOCATION:British Antarctic Survey\, Room 330B
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