Quantifying Statistical Interdependence by Message Passing on GraphsPart II: Multidimensional Point Processes

@article{Dauwels2009QuantifyingSI,
  title={Quantifying Statistical Interdependence by Message Passing on GraphsPart II: Multidimensional Point Processes},
  author={Justin Dauwels and François B. Vialatte and Theophane Weber and Toshimitsu Musha and Andrzej Cichocki},
  journal={Neural Computation},
  year={2009},
  volume={21},
  pages={2203-2268}
}
Stochastic event synchrony is a technique to quantify the similarity of pairs of signals. First, events are extracted from the two given time series. Next, one tries to align events from one time series with events from the other. The better the alignment, the more similar the two time series are considered to be. In Part I, the companion letter in this issue, one-dimensional events are considered; this letter concerns multidimensional events. Although the basic idea is similar, the extension… CONTINUE READING
Highly Cited
This paper has 28 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 61 references

On the exactness of the cavity method for weighted b-matchings on arbitrary graphs and its relation to linear programs

  • M. Bayati, C. Borgs, J. Chayes, R. Zecchina
  • Journal of Statistical Physics,
  • 2008
Highly Influential
6 Excerpts

Matching: Handbooks in operations research and management science

  • A.M.H. Gerards
  • 1995
Highly Influential
6 Excerpts

Matchings and extension: Handbook of combinatorics

  • W. Pulleyblank
  • 1995
Highly Influential
6 Excerpts

Similar Papers

Loading similar papers…