Difference between revisions of "Temporal Concentration"

From Open Risk Manual
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* [[Spatial Concentration]]
 
* [[Spatial Concentration]]
 
* [[Concentration]]
 
* [[Concentration]]
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* [[wikipedia:Scan statistic | Scan statistic]]
  
  
 
[[Category:Concentration Measurement]]
 
[[Category:Concentration Measurement]]

Revision as of 23:08, 14 June 2021

Definition

Temporal Concentration (also Temporal Clustering) describes dynamic (time dependent) phenomena where the occurrence (rate, frequency or other measured quantity) of events exhibits non-uniform characteristics

Models

The archetype of a temporal process that does not exhibit concentration or clustering of events is the Poisson process. A variety of other proposed point processes can be used to model temporal concentration.

A special class of point process that exhibits enhanced clustering is the Hawkes process (also known as a self-exciting counting process). It is a simple point process but whose conditional intensity depends on the previous even count (hence the occurence of an event may precipitate more events).

Measurement

  • Binning of temporal intervals (e.g. hourly, daily, monthly etc)
  • Aggregation of amounts or counts within interval
  • Application of standard Univariate Index

See Also