Ranking and Entropy Estimation in Nonlinear Time Series Analysis

@inproceedings{Pompe1998RankingAE,
  title={Ranking and Entropy Estimation in Nonlinear Time Series Analysis},
  author={Bernd Pompe},
  year={1998}
}
This chapter is concerned with two subjects. The first one is a method of signal preprocessing called ranking. It is of special relevance in nonlinear time series analysis and may cause several computational advantages. The second subject is the definition and estimation of a generalized mutual information which is useful to analyse statistical dependences in scalar or multivariate time series. A fast algorithm for its estimation is described in detail which essentially profits from ranking of… CONTINUE READING

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