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Long Memory Networks in Climatological Studies

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If you have a question about this talk, please contact Christian Franzke.

Open to non-BAS; please contact Christian Franzke (chan1 (at) if you would like to attend.

Multivariate long memory networks have demonstrated a regime of scale invariant correlation between constituent nodes in modeled datasets of neurophysiological processes and financial time series. Studies have concluded that fractal connectivity is a common property of diverse dynamic 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.

This talk is part of the British Antarctic Survey series.

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