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A Bayesian approach to modelling subnational spatial dynamics of worldwide non-state terrorism, 2010-2016

Abstract:

Terrorism persists as a worldwide threat, as exemplified by the on-going lethal attacks perpetrated by Islamic State in Iraq and Syria, Al Qaeda in Yemen and Boko Haram in Nigeria. In response, states deploy various counterterrorism policies, the costs of which could be reduced through efficient preventive measures. Statistical models that can account for complex spatiotemporal dependences have not yet been applied, despite their potential for providing guidance to explain and prevent terrori...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Accepted Manuscript

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Publisher copy:
10.1111/rssa.12384

Authors


More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
BDI-NDM
Illian, JB More by this author
Jones-Todd, CM More by this author
Blangiardo, M More by this author
Publisher:
Wiley Publisher's website
Journal:
Journal of the Royal Statistical Society, Series A (Statistics in Society) Journal website
Volume:
182
Issue:
1
Pages:
323-344
Publication date:
2018-05-28
Acceptance date:
2018-04-18
DOI:
EISSN:
1467-985X
ISSN:
0964-1998
Pubs id:
pubs:857983
URN:
uri:b6ee1669-84e8-4c31-b44f-612c2df5c0fd
UUID:
uuid:b6ee1669-84e8-4c31-b44f-612c2df5c0fd
Local pid:
pubs:857983

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