engleski

Application of Random Matrix Theory to Biological Time-Series Analysis

Many biological quantities fluctuate in time. Until recently, it was believed that such fluctuations are a consequence of random and unpredictable events. With the discovery of chaos, it has become clear that some of these fluctuations may be a result of deterministic chaos and hence predictable in the short term and amenable to simple modeling. There are many tests available now, mainly based on the nonlinear and fractal analysis, to quantify these complex fluctuations and to determine whether a biological time series is random or chaotic. If chaos is found, it may be possible to improve the short-term predictability and enhance our understanding of the underlying process. In thise talk we axamine the possibility that these complex flucuations exhibit universality of the tipe predicted by the random matrix theory (RMT).

random matrix theory; time-series

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