The Fundamentals of Heavy Tails

Author:

Nair Jayakrishnan,Wierman Adam,Zwart Bert

Abstract

Heavy tails –extreme events or values more common than expected –emerge everywhere: the economy, natural events, and social and information networks are just a few examples. Yet after decades of progress, they are still treated as mysterious, surprising, and even controversial, primarily because the necessary mathematical models and statistical methods are not widely known. This book, for the first time, provides a rigorous introduction to heavy-tailed distributions accessible to anyone who knows elementary probability. It tackles and tames the zoo of terminology for models and properties, demystifying topics such as the generalized central limit theorem and regular variation. It tracks the natural emergence of heavy-tailed distributions from a wide variety of general processes, building intuition. And it reveals the controversy surrounding heavy tails to be the result of flawed statistics, then equips readers to identify and estimate with confidence. Over 100 exercises complete this engaging package.

Publisher

Cambridge University Press

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. When Heavy Tails Disrupt Statistical Inference;The American Statistician;2024-09-10

2. Distinguishing subsampled power laws from other heavy-tailed distributions;Physical Review E;2024-05-08

3. Grievance shocks and coordination in protest;American Journal of Political Science;2024-04-04

4. General distributions of number representation elements;Probability in the Engineering and Informational Sciences;2024-02-07

5. A Multi-objective Evolutionary Algorithm Based on Decomposition—Dynamic Resource Allocation with Mixture Model;Lecture Notes in Networks and Systems;2024

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