{"id":"https://openalex.org/W4414229133","doi":"https://doi.org/10.1109/tsp.2025.3609067","title":"Robust Quickest Change Detection With Sampling Control","display_name":"Robust Quickest Change Detection With Sampling Control","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4414229133","doi":"https://doi.org/10.1109/tsp.2025.3609067"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3609067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3609067","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","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/A5036935998","display_name":"Yingze Hou","orcid":"https://orcid.org/0009-0009-5477-8567"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yingze Hou","raw_affiliation_strings":["Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037305170","display_name":"Hoda Bidkhori","orcid":"https://orcid.org/0000-0003-3895-5104"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hoda Bidkhori","raw_affiliation_strings":["Department of Computational and Data Sciences, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computational and Data Sciences, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064178565","display_name":"Taposh Banerjee","orcid":"https://orcid.org/0000-0003-4163-6913"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taposh Banerjee","raw_affiliation_strings":["Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036935998"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33256093,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":null,"first_page":"3588","last_page":"3597"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9485999941825867,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9485999941825867,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.6593000292778015},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5435000061988831},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.49939998984336853},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.447299987077713},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.42660000920295715},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4156999886035919},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.3808000087738037},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.3456000089645386},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.33570000529289246}],"concepts":[{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.6593000292778015},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5435000061988831},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.49939998984336853},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.478300005197525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4700999855995178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46140000224113464},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.447299987077713},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.42660000920295715},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4156999886035919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4081000089645386},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.3808000087738037},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.3456000089645386},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.33570000529289246},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.32339999079704285},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.30660000443458557},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.2930000126361847},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.2621999979019165},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.26179999113082886},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.2603999972343445},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.25360000133514404}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2025.3609067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3609067","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8004049542","display_name":null,"funder_award_id":"2427910","funder_id":"https://openalex.org/F4320332172","funder_display_name":"Directorate for Mathematical and Physical Sciences"},{"id":"https://openalex.org/G8367872867","display_name":null,"funder_award_id":"2427909","funder_id":"https://openalex.org/F4320332172","funder_display_name":"Directorate for Mathematical and Physical Sciences"}],"funders":[{"id":"https://openalex.org/F4320332172","display_name":"Directorate for Mathematical and Physical Sciences","ror":"https://ror.org/029b7h395"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W966080908","https://openalex.org/W1533983758","https://openalex.org/W1932073528","https://openalex.org/W1967128863","https://openalex.org/W1970411742","https://openalex.org/W1979473802","https://openalex.org/W1981904416","https://openalex.org/W1999907325","https://openalex.org/W2004094275","https://openalex.org/W2018319586","https://openalex.org/W2019946858","https://openalex.org/W2051649392","https://openalex.org/W2112072995","https://openalex.org/W2136915286","https://openalex.org/W2166426063","https://openalex.org/W2746438449","https://openalex.org/W2887320514","https://openalex.org/W2896138074","https://openalex.org/W2962889426","https://openalex.org/W2964026786","https://openalex.org/W3122123095","https://openalex.org/W3194017516","https://openalex.org/W4234358671","https://openalex.org/W4247848308","https://openalex.org/W4249116379","https://openalex.org/W4297017196","https://openalex.org/W4312913802","https://openalex.org/W4389078306","https://openalex.org/W4389625596","https://openalex.org/W4390691060","https://openalex.org/W4400307593"],"related_works":[],"abstract_inverted_index":{"The":[0,19,50,146],"problem":[1],"of":[2,5,11,14,37,43,53,101,131,144],"quickest":[3],"detection":[4],"a":[6,12,60,72,79,83],"change":[7,25,110],"in":[8,46,78],"the":[9,24,27,35,41,47,54,68,99,105,109,121,129,142],"distribution":[10,52,61,73],"sequence":[13],"random":[15],"variables":[16],"is":[17,21,56,64,75,118,123,149],"studied.":[18],"objective":[20],"to":[22,32,97,135],"detect":[23,108],"with":[26],"minimum":[28],"possible":[29],"delay,":[30],"subject":[31],"constraints":[33],"on":[34,141,151],"rate":[36,130],"false":[38,115,132],"alarms":[39,133],"and":[40,154],"cost":[42,100,143],"observations":[44],"used":[45],"decision-making":[48],"process.":[49],"post-change":[51,69],"data":[55,153],"known":[57],"only":[58],"within":[59],"family.":[62],"It":[63,117],"shown":[65,119],"that":[66,74,90,120],"if":[67],"family":[70],"has":[71],"least":[76],"favorable":[77],"well-defined":[80],"sense,":[81],"then":[82],"computationally":[84],"efficient":[85],"algorithm":[86,106,122],"can":[87,107],"be":[88],"designed":[89],"uses":[91],"an":[92],"on-off":[93],"observation":[94],"control":[95],"strategy":[96],"save":[98],"observations.":[102,145],"In":[103],"addition,":[104],"robustly":[111],"while":[112],"avoiding":[113],"unnecessary":[114],"alarms.":[116],"also":[124],"asymptotically":[125],"robust":[126],"optimal":[127],"as":[128],"goes":[134],"zero":[136],"for":[137],"every":[138],"fixed":[139],"constraint":[140],"algorithm\u2019s":[147],"effectiveness":[148],"validated":[150],"simulated":[152],"real":[155],"public":[156],"health":[157],"data.":[158]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
