{"id":"https://openalex.org/W4402833823","doi":"https://doi.org/10.1109/tit.2024.3464586","title":"Large and Small Deviations for Statistical Sequence Matching","display_name":"Large and Small Deviations for Statistical Sequence Matching","publication_year":2024,"publication_date":"2024-09-25","ids":{"openalex":"https://openalex.org/W4402833823","doi":"https://doi.org/10.1109/tit.2024.3464586"},"language":"en","primary_location":{"id":"doi:10.1109/tit.2024.3464586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2024.3464586","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"},"type":"article","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":"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":true,"raw_author_name":"Lin Zhou","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027720270","display_name":"Qianyun Wang","orcid":null},"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":"Qianyun Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100426898","display_name":"Jingjing Wang","orcid":"https://orcid.org/0000-0003-3170-8952"},"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":"Jingjing Wang","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072780525","display_name":"Lin Bai","orcid":"https://orcid.org/0000-0001-5705-0912"},"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 Bai","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077692655","display_name":"Alfred O. Hero","orcid":"https://orcid.org/0000-0002-2531-9670"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alfred O. Hero","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, United States","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5061776746"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.7009,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68979787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"70","issue":"11","first_page":"7532","last_page":"7562"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5828664898872375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5176363587379456},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.44954225420951843},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4292641878128052},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3773251175880432},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31500232219696045}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5828664898872375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5176363587379456},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.44954225420951843},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4292641878128052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3773251175880432},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31500232219696045},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tit.2024.3464586","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tit.2024.3464586","pdf_url":null,"source":{"id":"https://openalex.org/S4502562","display_name":"IEEE Transactions on Information Theory","issn_l":"0018-9448","issn":["0018-9448","1557-9654"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3020779150","display_name":null,"funder_award_id":"62201022, U22B2008 and 62222101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4691222252","display_name":null,"funder_award_id":"4232007, L232043 and L222039","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1551130943","https://openalex.org/W1610772244","https://openalex.org/W1928812145","https://openalex.org/W1997127735","https://openalex.org/W2007597463","https://openalex.org/W2017379196","https://openalex.org/W2033387638","https://openalex.org/W2034597819","https://openalex.org/W2036605328","https://openalex.org/W2038920680","https://openalex.org/W2051707898","https://openalex.org/W2104340231","https://openalex.org/W2106864314","https://openalex.org/W2107680983","https://openalex.org/W2112142266","https://openalex.org/W2117902970","https://openalex.org/W2135754713","https://openalex.org/W2142326547","https://openalex.org/W2146950091","https://openalex.org/W2154518298","https://openalex.org/W2160533339","https://openalex.org/W2195256693","https://openalex.org/W2261921850","https://openalex.org/W2272901026","https://openalex.org/W2346099651","https://openalex.org/W2563994828","https://openalex.org/W2592860771","https://openalex.org/W2797043077","https://openalex.org/W2921773465","https://openalex.org/W3080501010","https://openalex.org/W3081195029","https://openalex.org/W3131271058","https://openalex.org/W3197599704","https://openalex.org/W4213248213","https://openalex.org/W4239807698","https://openalex.org/W4246098931","https://openalex.org/W4250589301","https://openalex.org/W4302366875","https://openalex.org/W4310902196","https://openalex.org/W4378740936","https://openalex.org/W6688325169","https://openalex.org/W6846095574"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2600246793"],"abstract_inverted_index":{"We":[0,29,72],"revisit":[1],"the":[2,23,32,35,43,50,56,66,69,74,77,84,87,106,113,135,138,157,164,172,188,205],"problem":[3,165,173],"of":[4,11,37,40,59,76,108,140,156,166,174,195],"statistical":[5,167],"sequence":[6,168],"matching":[7,169],"between":[8,42,65,86],"two":[9,70,158],"databases":[10,44,159],"sequences":[12,41,60,67],"initiated":[13],"by":[14,79,178,200],"Unnikrishnan,":[15],"(2015)":[16],"and":[17,81,89,99,120,145],"derive":[18],"theoretical":[19,123],"performance":[20,75],"guarantees":[21],"for":[22,117,187],"generalized":[24,114],"likelihood":[25],"ratio":[26],"test":[27,111],"(GLRT).":[28],"first":[30],"consider":[31],"case":[33,136],"where":[34,137],"number":[36,139],"matched":[38,57,141],"pairs":[39,58,142],"is":[45,52,143],"known.":[46],"In":[47],"this":[48,182],"case,":[49,184],"task":[51],"to":[53,134,151,171],"accurately":[54],"find":[55],"among":[61],"all":[62],"possible":[63],"matches":[64],"in":[68,96],"databases.":[71],"analyze":[73],"GLRT":[78,110],"Unnikrishnan":[80],"explicitly":[82],"characterize":[83],"tradeoff":[85],"mismatch":[88],"false":[90],"reject":[91],"probabilities":[92],"under":[93,112],"each":[94],"hypothesis":[95],"both":[97,118],"large":[98],"small":[100,189],"deviations":[101,190],"regimes.":[102],"Furthermore,":[103],"we":[104,129],"demonstrate":[105],"optimality":[107],"Unnikrishnan\u2019s":[109],"Neyman-Person":[115],"criterion":[116],"regimes":[119],"illustrate":[121],"our":[122,131,185],"results":[124],"via":[125],"numerical":[126],"examples.":[127],"Subsequently,":[128],"generalize":[130],"achievability":[132],"analyses":[133],"unknown,":[144],"an":[146],"additional":[147],"error":[148],"probability":[149],"needs":[150],"be":[152],"considered.":[153],"When":[154],"one":[155],"contains":[160],"a":[161],"single":[162],"sequence,":[163],"specializes":[170],"multiple":[175],"classification":[176],"introduced":[177],"Gutman,":[179],"(1989).":[180],"For":[181],"special":[183],"result":[186,194],"regime":[191],"strengthens":[192],"previous":[193],"Zhou":[196],"et":[197],"al.,":[198],"(2020)":[199],"removing":[201],"unnecessary":[202],"conditions":[203],"on":[204],"generating":[206],"distributions.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
