Quantifying Statistical Interdependence, Part III: N > 2 Point Processes

Quantifying Statistical Interdependence, Part III: N > 2 Point Processes

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Stochastic event synchrony (SES) is a recently proposed family of similarity measures. First, “events” are extracted from the given signals; next, one tries to align events across the different time series. The better the alignment, the more similar the N time series are considered to be. The simila...

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Bibliographic Details
Main Authors: Weber, Theophane G., Dauwels, Justin H. G., Vialatte, Franc¸ois, Musha, Toshimitsu, Cichocki, Andrzej
Other Authors: Massachusetts Institute of Technology. Operations Research Center
Format: Article
Language:en_US
Published: MIT Press 2012
Online Access:http://hdl.handle.net/1721.1/71242

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http://hdl.handle.net/1721.1/71242

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