Quantifying Statistical Interdependence by Message Passing on Graphs-Part I: One-Dimensional Point Processes
We present a novel approach to quantify the statistical interdependence of two time series, referred to as stochastic event synchrony (SES). The first step is to extract “events” from the two given time series. The next step is to try to align events from one time series with events from the oth...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
MIT Press
2010
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| Online Access: | http://hdl.handle.net/1721.1/57454 |