英文标题：
《Inter-occurrence times and universal laws in finance, earthquakes and
genomes》
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作者：
Constantino Tsallis
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最新提交年份：
2016
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英文摘要：
A plethora of natural, artificial and social systems exist which do not belong to the Boltzmann-Gibbs (BG) statistical-mechanical world, based on the standard additive entropy $S_{BG}$ and its associated exponential BG factor. Frequent behaviors in such complex systems have been shown to be closely related to $q$-statistics instead, based on the nonadditive entropy $S_q$ (with $S_1=S_{BG}$), and its associated $q$-exponential factor which generalizes the usual BG one. In fact, a wide range of phenomena of quite different nature exist which can be described and, in the simplest cases, understood through analytic (and explicit) functions and probability distributions which exhibit some universal features. Universality classes are concomitantly observed which can be characterized through indices such as $q$. We will exhibit here some such cases, namely concerning the distribution of inter-occurrence (or inter-event) times in the areas of finance, earthquakes and genomes.
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中文摘要：
基于标准加性熵$S_{BG}$及其相关指数BG因子，存在大量不属于玻尔兹曼-吉布斯（Boltzmann-Gibbs，BG）统计力学世界的自然、人工和社会系统。基于非加性熵$S_q$（其中$S_1=S_{BG}$）及其相关的$q$-指数因子，这种复杂系统中的频繁行为已被证明与$q$-统计数据密切相关，这是通常的BG因子的推广。事实上，存在着一系列性质迥异的现象，这些现象可以通过解析（和显式）函数和概率分布来描述，在最简单的情况下，可以通过解析（和显式）函数和概率分布来理解，这些函数和分布具有一些普遍的特征。同时观察到的普遍性类可以通过$q$等指数来表征。我们将在这里展示一些这样的案例，即关于金融、地震和基因组领域的事件间（或事件间）时间分布。
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分类信息：

一级分类：Physics 物理学
二级分类：Statistical Mechanics 统计力学
分类描述：Phase transitions, thermodynamics, field theory, non-equilibrium phenomena, renormalization group and scaling, integrable models, turbulence
相变，热力学，场论，非平衡现象，重整化群和标度，可积模型，湍流
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一级分类：Quantitative Biology 数量生物学
二级分类：Genomics 基因组学
分类描述：DNA sequencing and assembly; gene and motif finding; RNA editing and alternative splicing; genomic structure and processes (replication, transcription, methylation, etc); mutational processes.
DNA测序与组装；基因和基序的发现；RNA编辑和选择性剪接；基因组结构和过程（复制、转录、甲基化等）；突变过程。
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一级分类：Quantitative Finance 数量金融学
二级分类：Statistical Finance 统计金融
分类描述：Statistical, econometric and econophysics analyses with applications to financial markets and economic data
统计、计量经济学和经济物理学分析及其在金融市场和经济数据中的应用
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