{"id":"https://openalex.org/W2947903208","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049008","title":"Separating an Outlier from a Change","display_name":"Separating an Outlier from a Change","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2947903208","doi":"https://doi.org/10.1109/ieeeconf44664.2019.9049008","mag":"2947903208"},"language":"en","primary_location":{"id":"doi:10.1109/ieeeconf44664.2019.9049008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.12915","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003250750","display_name":"Deniz Sargun","orcid":"https://orcid.org/0000-0003-2417-7495"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deniz Sargun","raw_affiliation_strings":["The Ohio State University,Department of Electrical and Computer Engineering,Columbus,OH,USA","The Ohio State University Department of Electrical and Computer Engineering Columbus OH USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Department of Electrical and Computer Engineering,Columbus,OH,USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"The Ohio State University Department of Electrical and Computer Engineering Columbus OH USA","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030047891","display_name":"C. Emre Koksal","orcid":"https://orcid.org/0000-0001-8463-4446"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C. Emre Koksal","raw_affiliation_strings":["The Ohio State University,Department of Electrical and Computer Engineering,Columbus,OH,USA","Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University,Department of Electrical and Computer Engineering,Columbus,OH,USA","institution_ids":["https://openalex.org/I52357470"]},{"raw_affiliation_string":"Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":0.9044,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65112926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1827","last_page":"1831"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9531000256538391,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7983251810073853},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.7173507213592529},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.711673378944397},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5596961975097656},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5261675119400024},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.5237472057342529},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4787682592868805},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4702422022819519},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.46122533082962036},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.4599752426147461},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4496300518512726},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.44701775908470154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.431324303150177},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42300593852996826},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3941602110862732},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22355282306671143},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.2178882658481598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2117409110069275},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.13369783759117126},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09529691934585571},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09183254837989807}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7983251810073853},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.7173507213592529},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.711673378944397},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5596961975097656},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5261675119400024},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.5237472057342529},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4787682592868805},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4702422022819519},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.46122533082962036},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.4599752426147461},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4496300518512726},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.44701775908470154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.431324303150177},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42300593852996826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3941602110862732},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22355282306671143},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2178882658481598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2117409110069275},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.13369783759117126},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09529691934585571},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09183254837989807},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ieeeconf44664.2019.9049008","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf44664.2019.9049008","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 53rd Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1905.12915","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.12915","pdf_url":"https://arxiv.org/pdf/1905.12915","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,"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":"mag:2947903208","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1905.12915v4","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,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1905.12915","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1905.12915","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.12915","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.12915","pdf_url":"https://arxiv.org/pdf/1905.12915","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,"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"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2947903208.pdf","grobid_xml":"https://content.openalex.org/works/W2947903208.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W21934178","https://openalex.org/W135467536","https://openalex.org/W565955800","https://openalex.org/W966080908","https://openalex.org/W1507039213","https://openalex.org/W1533983758","https://openalex.org/W1590772317","https://openalex.org/W1981904416","https://openalex.org/W1985936867","https://openalex.org/W2024627126","https://openalex.org/W2044535354","https://openalex.org/W2078042080","https://openalex.org/W2079795320","https://openalex.org/W2088685073","https://openalex.org/W2096074222","https://openalex.org/W2096258098","https://openalex.org/W2136915286","https://openalex.org/W2142659869","https://openalex.org/W2292979693","https://openalex.org/W2471765520","https://openalex.org/W2514414386","https://openalex.org/W2563052397","https://openalex.org/W2567621966","https://openalex.org/W2688936186","https://openalex.org/W2703438102","https://openalex.org/W2749340015","https://openalex.org/W2750986595","https://openalex.org/W2780495118","https://openalex.org/W2792220042","https://openalex.org/W2811232871","https://openalex.org/W2887320514","https://openalex.org/W2889697786","https://openalex.org/W2916581111","https://openalex.org/W2942876209","https://openalex.org/W2962931729","https://openalex.org/W2963142314","https://openalex.org/W2964026786","https://openalex.org/W3014011536","https://openalex.org/W3133603318","https://openalex.org/W4210869902","https://openalex.org/W6631838684","https://openalex.org/W6632903829","https://openalex.org/W6753510854"],"related_works":["https://openalex.org/W3044325317","https://openalex.org/W1529160725","https://openalex.org/W2949481913","https://openalex.org/W2144053334","https://openalex.org/W3041092690","https://openalex.org/W2008206871","https://openalex.org/W1628480020","https://openalex.org/W3198813250","https://openalex.org/W1595374653","https://openalex.org/W2140763235","https://openalex.org/W2341713241","https://openalex.org/W2915955445","https://openalex.org/W155370557","https://openalex.org/W2945179811","https://openalex.org/W3125753920","https://openalex.org/W1825397541","https://openalex.org/W2890246169","https://openalex.org/W1788146384","https://openalex.org/W1853347340","https://openalex.org/W3120197982"],"abstract_inverted_index":{"We":[0,48],"study":[1],"the":[2,15,19,55,66,70,93,99,104,109,130,140],"quickest":[3],"change":[4,17,87,143],"detection":[5,88],"problem":[6],"with":[7,85,98,108],"an":[8,34,79],"unknown":[9,16],"post-change":[10],"distribution.":[11],"In":[12],"this":[13],"scenario,":[14],"in":[18,25],"distribution":[20],"of":[21,57,135],"observations":[22],"may":[23],"occur":[24,77],"many":[26],"ways":[27],"without":[28,103],"much":[29],"structure,":[30],"while,":[31],"before":[32],"change,":[33],"outlier":[35],"(a":[36],"false":[37,94],"alarm":[38],"event)":[39],"is":[40],"highly":[41,148],"structured,":[42],"following":[43],"a":[44,62,147],"particular":[45],"sample":[46],"path.":[47],"first":[49],"characterize":[50],"these":[51],"likely":[52,72,149],"events":[53],"for":[54,74],"deviation":[56],"finite":[58],"strings":[59],"and":[60,123,138],"propose":[61],"method":[63,82,118,127],"to":[64,69,76,90,145],"test":[65],"deviation,":[67],"relative":[68],"most":[71],"way":[73],"it":[75],"as":[78],"outlier.":[80],"Our":[81,126],"works":[83],"along":[84],"other":[86],"schemes":[89],"substantially":[91],"reduce":[92],"positive":[95],"rates":[96],"associated":[97,107],"plain":[100],"scheme":[101],"used":[102],"heavy":[105],"computation":[106],"generalized":[110],"likelihood":[111],"ratio":[112],"test.":[113],"Finally,":[114],"we":[115],"apply":[116],"our":[117],"on":[119],"economic":[120],"market":[121],"indicators":[122],"climate":[124,142],"data.":[125],"successfully":[128],"captures":[129],"regime":[131,150],"shifts":[132],"during":[133],"times":[134],"historical":[136],"significance":[137],"identifies":[139],"current":[141],"phenomenon":[144],"be":[146],"shift.":[151]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
