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Reasoning from non-stationarity

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  • Struzik, Zbigniew R.
  • van Wijngaarden, Willem J.
  • Castelo, Robert

Abstract

Complex real-world (biological) systems often exhibit intrinsically non-stationary behaviour of their temporal characteristics. We discuss local measures of scaling which can capture and reveal changes in a system's behaviour. Such measures offer increased insight into a system's behaviour and are superior to global, spectral characteristics like the multifractal spectrum. They are, however, often inadequate for fully understanding and modelling the phenomenon. We illustrate an attempt to capture complex model characteristics by analysing (multiple order) correlations in a high dimensional space of parameters of the (biological) system being studied. Both temporal information, among others local scaling information, and external descriptors/parameters, possibly influencing the system's state, are used to span the search space investigated for the presence of a (sub-)optimal model. As an example, we use fetal heartbeat monitored during labour.

Suggested Citation

  • Struzik, Zbigniew R. & van Wijngaarden, Willem J. & Castelo, Robert, 2002. "Reasoning from non-stationarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 246-255.
    • Handle: RePEc:eee:phsmap:v:314:y:2002:i:1:p:246-255
    DOI: 10.1016/S0378-4371(02)01090-7
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    References listed on IDEAS

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    1. Plamen Ch. Ivanov & Luís A. Nunes Amaral & Ary L. Goldberger & Shlomo Havlin & Michael G. Rosenblum & Zbigniew R. Struzik & H. Eugene Stanley, 1999. "Multifractality in human heartbeat dynamics," Nature, Nature, vol. 399(6735), pages 461-465, June.
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    Cited by:

    1. Struzik, Zbigniew R., 2003. "Econonatology: the physics of the economy in labour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 324(1), pages 344-351.

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