About: Extreme events and emergency scales()

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Extreme events and emergency scales()
Creator	Ma, Zhuanzhuan Volchenkov, Dimitri
Source	Elsevier; Medline; PMC
abstract	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.
has issue date	2020-05-22(xsd:dateTime)
bibo:doi	10.1016/j.cnsns.2020.105350
bibo:pmid	32501383
has license	no-cc
sha1sum (hex)	7c5c3542337e3d2fceda7c257d4d79dcb7196583
schema:url	https://doi.org/10.1016/j.cnsns.2020.105350
resource representing a document's title	Extreme events and emergency scales()
has PubMed Central identifier	PMC7243033
has PubMed identifier	32501383
schema:publication	Commun Nonlinear Sci Numer Simul
resource representing a document's body	covid:7c5c3542337e3d2fceda7c257d4d79dcb7196583#body_text
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