{"id":"https://openalex.org/W1992019699","doi":"https://doi.org/10.1214/11-aoas513","title":"Self-exciting hurdle models for terrorist activity","display_name":"Self-exciting hurdle models for terrorist activity","publication_year":2012,"publication_date":"2012-03-01","ids":{"openalex":"https://openalex.org/W1992019699","doi":"https://doi.org/10.1214/11-aoas513","mag":"1992019699"},"language":"en","primary_location":{"id":"doi:10.1214/11-aoas513","doi":"https://doi.org/10.1214/11-aoas513","is_oa":true,"landing_page_url":"https://doi.org/10.1214/11-aoas513","pdf_url":"https://projecteuclid.org/journals/annals-of-applied-statistics/volume-6/issue-1/Self-exciting-hurdle-models-for-terrorist-activity/10.1214/11-AOAS513.pdf","source":{"id":"https://openalex.org/S112778392","display_name":"The Annals of Applied Statistics","issn_l":"1932-6157","issn":["1932-6157","1941-7330"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319881","host_organization_name":"Institute of Mathematical Statistics","host_organization_lineage":["https://openalex.org/P4310319881"],"host_organization_lineage_names":["Institute of Mathematical Statistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Annals of Applied Statistics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://projecteuclid.org/journals/annals-of-applied-statistics/volume-6/issue-1/Self-exciting-hurdle-models-for-terrorist-activity/10.1214/11-AOAS513.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Michael D. Porter","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michael D. Porter","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032911895","display_name":"Gentry White","orcid":"https://orcid.org/0000-0002-1170-9299","observed_orcids":["https://orcid.org/0000-0002-1170-9299"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gentry White","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":28.3769,"has_fulltext":true,"cited_by_count":111,"citation_normalized_percentile":{"value":0.99457789,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"6","issue":"1","first_page":"106","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10994","display_name":"Terrorism, Counterterrorism, and Political Violence","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10994","display_name":"Terrorism, Counterterrorism, and Political Violence","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11830","display_name":"Point processes and geometric inequalities","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12265","display_name":"Gun Ownership and Violence Research","score":0.00019999999494757503,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/terrorist-activity","display_name":"terrorist activity","score":0.6899999976158142},{"id":"https://openalex.org/keywords/self-exciting-point-processes","display_name":"self-exciting point processes","score":0.9010000228881836},{"id":"https://openalex.org/keywords/shot-noise","display_name":"shot noise","score":0.7590000033378601},{"id":"https://openalex.org/keywords/hurdle-models","display_name":"hurdle models","score":0.9940000176429749},{"id":"https://openalex.org/keywords/power-law-distribution","display_name":"power-law distribution","score":0.7070000171661377},{"id":"https://openalex.org/keywords/coordinated-attacks","display_name":"coordinated attacks","score":0.7089999914169312}],"concepts":[{"id":"https://openalex.org/C203133693","wikidata":"https://www.wikidata.org/wiki/Q7283","display_name":"Terrorism","level":2,"score":0.7369999885559082},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5044000148773193},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4925000071525574},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.45660001039505005},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.4262999892234802},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4090000092983246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40720000863075256},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.3763999938964844},{"id":"https://openalex.org/C87040749","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Power law","level":2,"score":0.3499999940395355},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3400999903678894},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.32749998569488525},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.3158999979496002},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.3118000030517578},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30469998717308044},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.29739999771118164},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.29019999504089355},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26260000467300415},{"id":"https://openalex.org/C12174686","wikidata":"https://www.wikidata.org/wiki/Q1058438","display_name":"Risk assessment","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1214/11-aoas513","doi":"https://doi.org/10.1214/11-aoas513","is_oa":true,"landing_page_url":"https://doi.org/10.1214/11-aoas513","pdf_url":"https://projecteuclid.org/journals/annals-of-applied-statistics/volume-6/issue-1/Self-exciting-hurdle-models-for-terrorist-activity/10.1214/11-AOAS513.pdf","source":{"id":"https://openalex.org/S112778392","display_name":"The Annals of Applied Statistics","issn_l":"1932-6157","issn":["1932-6157","1941-7330"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319881","host_organization_name":"Institute of Mathematical Statistics","host_organization_lineage":["https://openalex.org/P4310319881"],"host_organization_lineage_names":["Institute of Mathematical Statistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Annals of Applied Statistics","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1203.3680","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1203.3680","pdf_url":"https://arxiv.org/pdf/1203.3680","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:CULeuclid:euclid.aoas/1331043390","doi":null,"is_oa":false,"landing_page_url":"http://projecteuclid.org/euclid.aoas/1331043390","pdf_url":null,"source":{"id":"https://openalex.org/S4306400787","display_name":"Project Euclid (Cornell University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.48550/arxiv.1203.3680","doi":"https://doi.org/10.48550/arxiv.1203.3680","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1203.3680","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},{"id":"mag:2784493000","doi":null,"is_oa":false,"landing_page_url":"https://eprints.qut.edu.au/68778/","pdf_url":null,"source":{"id":"https://openalex.org/S2764552960","display_name":"Science & Engineering Faculty","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Science & Engineering Faculty","raw_type":null}],"best_oa_location":{"id":"doi:10.1214/11-aoas513","doi":"https://doi.org/10.1214/11-aoas513","is_oa":true,"landing_page_url":"https://doi.org/10.1214/11-aoas513","pdf_url":"https://projecteuclid.org/journals/annals-of-applied-statistics/volume-6/issue-1/Self-exciting-hurdle-models-for-terrorist-activity/10.1214/11-AOAS513.pdf","source":{"id":"https://openalex.org/S112778392","display_name":"The Annals of Applied Statistics","issn_l":"1932-6157","issn":["1932-6157","1941-7330"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-c","doyens","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319881","host_organization_name":"Institute of Mathematical Statistics","host_organization_lineage":["https://openalex.org/P4310319881"],"host_organization_lineage_names":["Institute of Mathematical Statistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Annals of Applied Statistics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.9200000166893005}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1992019699.pdf","grobid_xml":"https://content.openalex.org/works/W1992019699.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W28026382","https://openalex.org/W1552466441","https://openalex.org/W1598612182","https://openalex.org/W1785182014","https://openalex.org/W1795140401","https://openalex.org/W1969564520","https://openalex.org/W1979033903","https://openalex.org/W1998280284","https://openalex.org/W1999735946","https://openalex.org/W2000042664","https://openalex.org/W2005903772","https://openalex.org/W2011193557","https://openalex.org/W2014080145","https://openalex.org/W2015186321","https://openalex.org/W2024764857","https://openalex.org/W2026565928","https://openalex.org/W2027963417","https://openalex.org/W2030702310","https://openalex.org/W2038667650","https://openalex.org/W2047569248","https://openalex.org/W2047742644","https://openalex.org/W2060791511","https://openalex.org/W2062656667","https://openalex.org/W2069849731","https://openalex.org/W2080059679","https://openalex.org/W2081176032","https://openalex.org/W2085358178","https://openalex.org/W2112138383","https://openalex.org/W2115682136","https://openalex.org/W2119634512","https://openalex.org/W2120666385","https://openalex.org/W2123906784","https://openalex.org/W2126305855","https://openalex.org/W2130354587","https://openalex.org/W2160696964","https://openalex.org/W2314900852","https://openalex.org/W2318079072","https://openalex.org/W2326455002","https://openalex.org/W2328875713","https://openalex.org/W2582743722","https://openalex.org/W2800505524","https://openalex.org/W6663759148","https://openalex.org/W7043280449"],"related_works":["https://openalex.org/W4382753054","https://openalex.org/W7098950230","https://openalex.org/W50417617","https://openalex.org/W4400431478","https://openalex.org/W7052320005","https://openalex.org/W2564772636","https://openalex.org/W3207235235","https://openalex.org/W2160075231","https://openalex.org/W2999663788","https://openalex.org/W3150240749"],"abstract_inverted_index":{"A":[0,95],"predictive":[1,123],"model":[2,24,83,118],"of":[3,13,35,43,49,60,67,78,86,93,109,116,125],"terrorist":[4,14,37],"activity":[5],"is":[6,120,128],"developed":[7],"by":[8],"examining":[9],"the":[10,32,36,41,50,53,58,65,72,76,84,107,117,126],"daily":[11],"number":[12,92,108],"attacks":[15,45,70,110],"in":[16],"Indonesia":[17],"from":[18],"1994":[19],"through":[20],"2007.":[21],"The":[22],"dynamic":[23],"employs":[25],"a":[26,47,100],"shot":[27,101],"noise":[28,102],"process":[29],"to":[30,81],"explain":[31],"self-exciting":[33],"nature":[34],"activities.":[38],"This":[39],"estimates":[40],"probability":[42,85],"future":[44],"as":[46],"function":[48],"times":[51],"since":[52],"past":[54],"attacks.":[55,94],"In":[56],"addition,":[57],"excess":[59],"nonattack":[61],"days":[62],"coupled":[63],"with":[64,99],"presence":[66],"multiple":[68],"coordinated":[69],"on":[71,111],"same":[73],"day":[74,89],"compelled":[75],"use":[77],"hurdle":[79],"models":[80,127],"jointly":[82],"an":[87,112],"attack":[88,113],"and":[90,122],"corresponding":[91],"power":[96],"law":[97],"distribution":[98],"driven":[103],"parameter":[104],"best":[105],"modeled":[106],"day.":[114],"Interpretation":[115],"parameters":[119],"discussed":[121],"performance":[124],"evaluated.":[129]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":7},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2016-06-24T00:00:00"}
