Abstract
Most biologists, when confronted with a time series, assume that the dynamical possibilities are quite limited. Either a system sits still, presumably at equilibrium, or it may oscillate with a fixed period. Anything else, they will probably tell you, is evidence of noise — observational error or chance perturbations from without. By these criteria, most biological systems, especially at the population level, are extremely noisy. Hence, it is no accident that mathematical biology places a heavy emphasis on stochastic models as well as on statistical techniques designed to extract the “deterministic” component of the signal.
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Schaffer, W.M., Olsen, L.F., Truty, G.L., Fulmer, S.L., Graser, D.J. (1988). Periodic and Chaotic Dynamics in Childhood Infections. In: Markus, M., Müller, S.C., Nicolis, G. (eds) From Chemical to Biological Organization. Springer Series in Synergetics, vol 39. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-73688-9_35
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DOI: https://doi.org/10.1007/978-3-642-73688-9_35
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