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Invited article by M. Gidea Extreme events and emergency scales()
An event is extreme if its magnitude exceeds the threshold. A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon’s entropy calculated on the probability that the threshold...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Center for Nonlinear Science, Peking University
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243033/ https://www.ncbi.nlm.nih.gov/pubmed/32501383 http://dx.doi.org/10.1016/j.cnsns.2020.105350 |
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author | Smirnov, Veniamin Ma, Zhuanzhuan Volchenkov, Dimitri |
author_facet | Smirnov, Veniamin Ma, Zhuanzhuan Volchenkov, Dimitri |
author_sort | Smirnov, Veniamin |
collection | PubMed |
description | An event is extreme if its magnitude exceeds the threshold. A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon’s entropy calculated on the probability that the threshold changes at any given time. If the amount of data is not sufficient, an observer is in the state of Lewis Carroll’s Red Queen who said “When you say hill, I could show you hills, in comparison with which you’d call that a valley”. If we have enough data, the uncertainty curve peaks at two values clearly separating the magnitudes of events into three emergency scales: subcritical, critical, and extreme. Our approach to defining the emergency scale is validated by 39 years of Standard and Poor’s 500 (S&P500) historical data. |
format | Online Article Text |
id | pubmed-7243033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Center for Nonlinear Science, Peking University |
record_format | MEDLINE/PubMed |
spelling | pubmed-72430332020-05-22 Invited article by M. Gidea Extreme events and emergency scales() Smirnov, Veniamin Ma, Zhuanzhuan Volchenkov, Dimitri Commun Nonlinear Sci Numer Simul Invited Article An event is extreme if its magnitude exceeds the threshold. A choice of a threshold is subject to uncertainty caused by a method, the size of available data, a hypothesis on statistics, etc. We assess the degree of uncertainty by the Shannon’s entropy calculated on the probability that the threshold changes at any given time. If the amount of data is not sufficient, an observer is in the state of Lewis Carroll’s Red Queen who said “When you say hill, I could show you hills, in comparison with which you’d call that a valley”. If we have enough data, the uncertainty curve peaks at two values clearly separating the magnitudes of events into three emergency scales: subcritical, critical, and extreme. Our approach to defining the emergency scale is validated by 39 years of Standard and Poor’s 500 (S&P500) historical data. Center for Nonlinear Science, Peking University 2020-11 2020-05-22 /pmc/articles/PMC7243033/ /pubmed/32501383 http://dx.doi.org/10.1016/j.cnsns.2020.105350 Text en Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Invited Article Smirnov, Veniamin Ma, Zhuanzhuan Volchenkov, Dimitri Invited article by M. Gidea Extreme events and emergency scales() |
title | Invited article by M. Gidea Extreme events and emergency scales() |
title_full | Invited article by M. Gidea Extreme events and emergency scales() |
title_fullStr | Invited article by M. Gidea Extreme events and emergency scales() |
title_full_unstemmed | Invited article by M. Gidea Extreme events and emergency scales() |
title_short | Invited article by M. Gidea Extreme events and emergency scales() |
title_sort | invited article by m. gidea extreme events and emergency scales() |
topic | Invited Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7243033/ https://www.ncbi.nlm.nih.gov/pubmed/32501383 http://dx.doi.org/10.1016/j.cnsns.2020.105350 |
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