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Modeling Terror Attacks with Self-Exciting Point Processes and Forecasting the Number of Terror Even...

Modeling Terror Attacks with Self-Exciting Point Processes and Forecasting the Number of Terror Even...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5dda8b7ae784df885ff1900b92e1f9a

Modeling Terror Attacks with Self-Exciting Point Processes and Forecasting the Number of Terror Events

About this item

Full title

Modeling Terror Attacks with Self-Exciting Point Processes and Forecasting the Number of Terror Events

Author / Creator

Publisher

Switzerland: MDPI AG

Journal title

Entropy (Basel, Switzerland), 2023-06, Vol.25 (7), p.1011

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Rampant terrorism poses a serious threat to the national security of many countries worldwide, particularly due to separatism and extreme nationalism. This paper focuses on the development and application of a temporal self-exciting point process model to the terror data of three countries: the US, Turkey, and the Philippines. To account for occurr...

Alternative Titles

Full title

Modeling Terror Attacks with Self-Exciting Point Processes and Forecasting the Number of Terror Events

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f5dda8b7ae784df885ff1900b92e1f9a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f5dda8b7ae784df885ff1900b92e1f9a

Other Identifiers

ISSN

1099-4300

E-ISSN

1099-4300

DOI

10.3390/e25071011

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