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The Birth-Death-Mutation Process: A New Paradigm for Fat Tailed Distributions

机译:出生-死亡突变过程:脂肪尾分布的新范式

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Fat tailed statistics and power-laws are ubiquitous in many complex systems. Usually the appearance of of a few anomalously successful individuals (bio-species, investors, websites) is interpreted as reflecting some inherent “quality” (fitness, talent, giftedness) as in Darwin's theory of natural selection. Here we adopt the opposite, “neutral”, outlook, suggesting that the main factor explaining success is merely luck. The statistics emerging from the neutral birth-death-mutation (BDM) process is shown to fit marvelously many empirical distributions. While previous neutral theories have focused on the power-law tail, our theory economically and accurately explains the entire distribution. We thus suggest the BDM distribution as a standard neutral model: effects of fitness and selection are to be identified by substantial deviations from it.
机译:繁琐的统计数据和幂律在许多复杂系统中无处不在。通常,像达尔文的自然选择理论一样,一些异常成功的个体(生物物种,投资者,网站)的出现被解释为反映了某些固有的“品质”(健康,才干,天赋)。在这里,我们采用相反的“中立”的观点,表明解释成功的主要因素仅仅是运气。从中性出生死亡突变(BDM)过程中得出的统计数据非常适合许多经验分布。虽然先前的中性理论集中于幂律尾部,但我们的理论从经济和准确的角度解释了整个分布。因此,我们建议将BDM分布作为标准的中性模型:适应性和选择的影响应通过与其实质性偏差来确定。

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