{"id":"https://openalex.org/W4415367357","doi":"https://doi.org/10.1109/isit63088.2025.11195332","title":"Quickest Mean-Change Detection via Confidence Sequence and Backward Sample Averages","display_name":"Quickest Mean-Change Detection via Confidence Sequence and Backward Sample Averages","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415367357","doi":"https://doi.org/10.1109/isit63088.2025.11195332"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-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/A5050337956","display_name":"Chih-Hsuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Hsuan Li","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Institute of Communications Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Institute of Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082244371","display_name":"Yu-Chih Huang","orcid":"https://orcid.org/0000-0003-2135-1232"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chih Huang","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Institute of Communications Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Institute of Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070957054","display_name":"Wen-Hsuan Li","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wen-Hsuan Li","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Institute of Communications Engineering,Hsinchu,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Institute of Communications Engineering,Hsinchu,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5050337956"],"corresponding_institution_ids":["https://openalex.org/I148366613"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29026321,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9174000024795532,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9174000024795532,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9067999720573425,"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/robustness","display_name":"Robustness (evolution)","score":0.6593000292778015},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.6162999868392944},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.583299994468689},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5285999774932861},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5095999836921692},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4894999861717224},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.48179998993873596},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4422000050544739}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6593000292778015},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.65420001745224},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6413000226020813},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.583299994468689},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5285999774932861},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5095999836921692},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4894999861717224},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.48179998993873596},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4422000050544739},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.42820000648498535},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.39250001311302185},{"id":"https://openalex.org/C128040838","wikidata":"https://www.wikidata.org/wiki/Q1810628","display_name":"Pseudorandom binary sequence","level":3,"score":0.37560001015663147},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.3416000008583069},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.3292999863624573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3257000148296356},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3131999969482422},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.30869999527931213},{"id":"https://openalex.org/C181243257","wikidata":"https://www.wikidata.org/wiki/Q1693522","display_name":"Sample mean and sample covariance","level":3,"score":0.30809998512268066},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.28610000014305115},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.26589998602867126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195332","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195332","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W966080908","https://openalex.org/W1533983758","https://openalex.org/W1981904416","https://openalex.org/W1987820735","https://openalex.org/W2018319586","https://openalex.org/W2058217887","https://openalex.org/W2165258227","https://openalex.org/W2887320514","https://openalex.org/W3030671780","https://openalex.org/W3152994159","https://openalex.org/W3194017516","https://openalex.org/W4247848308","https://openalex.org/W4399952785","https://openalex.org/W4401693664"],"related_works":[],"abstract_inverted_index":{"This":[0],"study":[1],"addresses":[2],"the":[3,17,27,45,51,58,61,66,80,93,96,101,110,124],"critical":[4],"challenge":[5],"of":[6,19,22,95,105,128],"quickest":[7],"mean-change":[8],"detection":[9,87],"(QMCD),":[10],"which":[11],"involves":[12],"promptly":[13],"detecting":[14],"changes":[15],"in":[16,120],"mean":[18,97,155],"a":[20,145],"sequence":[21],"independent":[23],"observations,":[24],"particularly":[25],"under":[26],"challenging":[28],"condition":[29],"where":[30],"both":[31],"pre-change":[32],"and":[33,55,137,153],"post-change":[34],"distributions":[35],"are":[36],"unknown.":[37],"A":[38],"novel":[39],"detector":[40,83],"is":[41,112],"proposed":[42,81],"to":[43,123],"tackle":[44],"QMCD":[46],"problem.":[47],"It":[48],"recursively":[49],"computes":[50],"backward":[52],"sample":[53],"average":[54,86],"checks":[56],"whether":[57],"result":[59],"escapes":[60,71],"forward":[62],"confidence":[63],"sequence,":[64],"hence":[65],"name":[67],"BAckward":[68],"Recursive":[69],"AVerage":[70],"Outside":[72],"Confidence":[73],"Sequence":[74],"(BRAVO-CS).":[75],"Rigorous":[76],"analysis":[77],"demonstrates":[78],"that":[79,89],"BRAVO-CS":[82,115,143],"achieves":[84],"an":[85],"delay":[88],"scales":[90],"inversely":[91],"with":[92],"magnitude":[94],"shift-significantly":[98],"better":[99],"than":[100],"inverse":[102],"quadratic":[103,125],"scaling":[104],"current":[106],"state-of-the-art":[107,129],"approaches":[108],"when":[109],"change":[111,156],"subtle.":[113],"Furthermore,":[114],"incurs":[116],"linear":[117],"time":[118,126],"complexity,":[119],"stark":[121],"contrast":[122],"complexity":[127],"methods.":[130],"Extensive":[131],"simulations":[132],"further":[133],"confirm":[134],"its":[135],"robustness":[136],"efficiency":[138],"across":[139],"diverse":[140],"scenarios,":[141],"establishing":[142],"as":[144],"compelling":[146],"solution":[147],"for":[148],"real-time":[149],"systems":[150],"requiring":[151],"rapid":[152],"reliable":[154],"detection.":[157]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-21T00:00:00"}