{"id":"https://openalex.org/W3081319929","doi":"https://doi.org/10.1109/isit44484.2020.9174318","title":"Sequential Detection and Isolation of a Correlated Pair","display_name":"Sequential Detection and Isolation of a Correlated Pair","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3081319929","doi":"https://doi.org/10.1109/isit44484.2020.9174318","mag":"3081319929"},"language":"en","primary_location":{"id":"doi:10.1109/isit44484.2020.9174318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","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":"https://openalex.org/A5032869384","display_name":"Anamitra Chaudhuri","orcid":null},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anamitra Chaudhuri","raw_affiliation_strings":["University of Illinois at Urbana-Champaign,Department of Statistics,Champaign,Illinois,61820","Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign,Department of Statistics,Champaign,Illinois,61820","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031479602","display_name":"Georgios Fellouris","orcid":"https://orcid.org/0000-0001-6852-700X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios Fellouris","raw_affiliation_strings":["University of Illinois at Urbana-Champaign,Department of Statistics,Champaign,Illinois,61820","Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign,Department of Statistics,Champaign,Illinois,61820","institution_ids":["https://openalex.org/I157725225"]},{"raw_affiliation_string":"Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, Illinois","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":0.8346,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67840376,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1141","last_page":"1146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9977999925613403,"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":0.9977999925613403,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9714000225067139,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.6712433099746704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6017160415649414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5515626668930054},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.46523159742355347},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.44179436564445496},{"id":"https://openalex.org/keywords/isolation","display_name":"Isolation (microbiology)","score":0.4413788318634033},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43888455629348755},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4156496226787567},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37597358226776123},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3481781482696533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3384675979614258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33415114879608154},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.23004156351089478}],"concepts":[{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.6712433099746704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6017160415649414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5515626668930054},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.46523159742355347},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.44179436564445496},{"id":"https://openalex.org/C2775941552","wikidata":"https://www.wikidata.org/wiki/Q25212305","display_name":"Isolation (microbiology)","level":2,"score":0.4413788318634033},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43888455629348755},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4156496226787567},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37597358226776123},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3481781482696533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3384675979614258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33415114879608154},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.23004156351089478},{"id":"https://openalex.org/C89423630","wikidata":"https://www.wikidata.org/wiki/Q7193","display_name":"Microbiology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit44484.2020.9174318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.5400000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1773234585","https://openalex.org/W1963995895","https://openalex.org/W1969526548","https://openalex.org/W1986083988","https://openalex.org/W1990458938","https://openalex.org/W1991631960","https://openalex.org/W2018665100","https://openalex.org/W2032909383","https://openalex.org/W2038534230","https://openalex.org/W2051234707","https://openalex.org/W2070269405","https://openalex.org/W2072864444","https://openalex.org/W2078012202","https://openalex.org/W2088428629","https://openalex.org/W2112694609","https://openalex.org/W2154801337","https://openalex.org/W2157642165","https://openalex.org/W2167770337","https://openalex.org/W2293630622","https://openalex.org/W2738834721","https://openalex.org/W3103364518","https://openalex.org/W4230704549","https://openalex.org/W4247848308","https://openalex.org/W6637829256","https://openalex.org/W6667758634"],"related_works":["https://openalex.org/W2394779770","https://openalex.org/W2998914036","https://openalex.org/W2388326001","https://openalex.org/W2415102733","https://openalex.org/W1983393909","https://openalex.org/W2165968459","https://openalex.org/W2040150569","https://openalex.org/W2132174924","https://openalex.org/W2013909972","https://openalex.org/W1911540634"],"abstract_inverted_index":{"The":[0,38],"problem":[1],"of":[2,26,74,77],"detecting":[3],"and":[4,29,59],"isolating":[5],"a":[6,54,87,106,118],"correlated":[7,27,55],"pair":[8,25,56],"among":[9],"multiple":[10],"Gaussian":[11],"information":[12],"sources":[13,28,34],"is":[14,17,21,40,53,67,121,128],"considered.":[15],"It":[16],"assumed":[18],"that":[19,30,89,136],"there":[20,52],"at":[22],"most":[23],"one":[24],"observations":[31],"from":[32],"all":[33],"are":[35],"acquired":[36],"sequentially.":[37],"goal":[39],"to":[41,62,69,105,115],"stop":[42],"sampling":[43],"as":[44,46,109],"quickly":[45],"possible,":[47],"declare":[48],"upon":[49],"stopping":[50],"whether":[51],"or":[57],"not,":[58],"if":[60],"yes,":[61],"identify":[63],"it.":[64],"Specifically,":[65],"it":[66],"required":[68],"control":[70],"explicitly":[71],"the":[72,99,110,125,138],"probabilities":[73],"three":[75],"kinds":[76],"error:":[78],"false":[79],"alarm,":[80],"missed":[81],"detection,":[82],"wrong":[83],"identification.":[84],"We":[85],"propose":[86],"procedure":[88,135],"not":[90],"only":[91],"controls":[92,137],"these":[93],"error":[94,112,140],"metrics,":[95],"but":[96],"also":[97],"achieves":[98],"smallest":[100],"possible":[101],"average":[102],"sample":[103],"size,":[104],"first-order":[107],"approximation,":[108],"target":[111],"rates":[113],"go":[114],"0.":[116],"Finally,":[117],"simulation":[119],"study":[120],"presented":[122],"in":[123],"which":[124],"proposed":[126],"rule":[127],"compared":[129],"with":[130],"an":[131],"alternative":[132],"sequential":[133],"testing":[134],"same":[139],"metrics.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}