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- W2981786126 abstract "Abstract In this chapter, we will look at two types of subexponential models of population extinction. Unlike the more traditional exponential models, the life span of populations described by subexponential models is finite. In the first model, the population is assumed to be composed of clones that are decreasing independently from each other. In the second model, we assume that the size of the population as a whole decreases according to the subexponential equation. We then investigate the “unobserved heterogeneity,” that is, the underlying inhomogeneous population model, and calculate the distribution of frequencies of clones for both models. We show that the dynamics of frequencies in the first model is governed by the principle of minimal Tsallis information loss. In the second model, the notion of “internal population time” is proposed; with respect to internal time, the dynamics of clone frequencies are governed by the principle of minimal Shannon information loss. The results of this analysis show that the principle of minimal information loss is the underlying law for the evolution of a broad class of models of population extinction. Finally, we propose a possible application of this modeling framework to mechanisms underlying time perception. This chapter is based on Karev and Kareva (2016) ." @default.
- W2981786126 created "2019-11-01" @default.
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- W2981786126 date "2020-01-01" @default.
- W2981786126 modified "2023-09-26" @default.
- W2981786126 title "Modeling extinction of inhomogeneous populations" @default.
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- W2981786126 doi "https://doi.org/10.1016/b978-0-12-814368-1.00010-2" @default.
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