{"id":"https://openalex.org/W4405909467","doi":"https://doi.org/10.1109/itw61385.2024.10806935","title":"Large Deviations for Outlier Hypothesis Testing of Continuous Sequences","display_name":"Large Deviations for Outlier Hypothesis Testing of Continuous Sequences","publication_year":2024,"publication_date":"2024-11-24","ids":{"openalex":"https://openalex.org/W4405909467","doi":"https://doi.org/10.1109/itw61385.2024.10806935"},"language":"en","primary_location":{"id":"doi:10.1109/itw61385.2024.10806935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lina Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lina Zhu","raw_affiliation_strings":["Space Information Research Institute, Hangzhou Dianzi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Space Information Research Institute, Hangzhou Dianzi University","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061776746","display_name":"Lin Zhou","orcid":"https://orcid.org/0000-0002-5173-320X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9775000214576721,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6209518313407898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891227722167969},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5737091898918152},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.45724156498908997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38411158323287964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35049909353256226},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3026013970375061},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24072420597076416}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6209518313407898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891227722167969},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5737091898918152},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.45724156498908997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38411158323287964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35049909353256226},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3026013970375061},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24072420597076416}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itw61385.2024.10806935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw61385.2024.10806935","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W966080908","https://openalex.org/W1565176583","https://openalex.org/W1965555277","https://openalex.org/W1998710743","https://openalex.org/W2033387638","https://openalex.org/W2034597819","https://openalex.org/W2042587503","https://openalex.org/W2083620785","https://openalex.org/W2102931639","https://openalex.org/W2112142266","https://openalex.org/W2134192056","https://openalex.org/W2144052787","https://openalex.org/W2963090585","https://openalex.org/W2977528155","https://openalex.org/W2989661724","https://openalex.org/W3080501010","https://openalex.org/W4213248213","https://openalex.org/W4247848308","https://openalex.org/W4366310824","https://openalex.org/W6688325169","https://openalex.org/W7019129576"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729"],"abstract_inverted_index":{"In":[0,120],"outlier":[1,69],"hypothesis":[2,70],"testing,":[3],"one":[4,111],"aims":[5],"to":[6],"detect":[7],"outlying":[8,27],"sequences":[9,18,28,62,74],"among":[10],"a":[11,23,34,52],"given":[12],"set":[13],"of":[14,95,116,133],"sequences,":[15,44],"where":[16,45,60,110],"most":[17],"are":[19,30,82],"generated":[20,31],"i.i.d.":[21,32],"from":[22,33],"nominal":[24,78],"distribution":[25,87],"while":[26],"(outliers)":[29],"different":[35],"anomalous":[36,80],"distribution.":[37],"Most":[38],"existing":[39],"studies":[40],"focus":[41],"on":[42],"discrete-valued":[43],"each":[46,117],"data":[47,61],"sample":[48,114],"takes":[49],"values":[50],"in":[51],"finite":[53],"set.":[54],"To":[55],"account":[56],"for":[57,72,106],"practical":[58],"scenarios":[59],"usually":[63],"take":[64],"real":[65],"values,":[66],"we":[67,85,123],"study":[68],"testing":[71],"continuous":[73],"when":[75],"both":[76],"the":[77,93,107,113,126],"and":[79,90,100],"distributions":[81],"unknown.":[83],"Specifically,":[84],"propose":[86],"free":[88],"test":[89],"prove":[91],"that":[92],"probabilities":[94],"misclassification":[96],"error,":[97],"false":[98,101],"reject":[99],"alarm":[102],"decay":[103],"exponentially":[104],"fast":[105],"proposed":[108],"test,":[109],"fixes":[112],"size":[115],"observed":[118],"sequence.":[119],"this":[121],"work,":[122],"mainly":[124],"consider":[125],"case":[127],"with":[128],"multiple":[129],"but":[130],"unknown":[131],"number":[132],"outliers.":[134]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}