{"id":"https://openalex.org/W7092403250","doi":"https://doi.org/10.1109/isit63088.2025.11195463","title":"The Query/Hit Model for Sequential Hypothesis Testing","display_name":"The Query/Hit Model for Sequential Hypothesis Testing","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W7092403250","doi":"https://doi.org/10.1109/isit63088.2025.11195463"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195463","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":null,"display_name":"Mahshad Shariatnasab","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mahshad Shariatnasab","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University,Miami,FL,USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stefano Rini","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":"Stefano Rini","raw_affiliation_strings":["National Yang Ming Chiao Tung University,Electrical and Computer Engineering Department,Taiwan"],"affiliations":[{"raw_affiliation_string":"National Yang Ming Chiao Tung University,Electrical and Computer Engineering Department,Taiwan","institution_ids":["https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Farhad Shirani","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Farhad Shirani","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University,Miami,FL,USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]}]},{"author_position":"last","author":{"id":null,"display_name":"S. Sitharama Iyengar","orcid":null},"institutions":[{"id":"https://openalex.org/I19700959","display_name":"Florida International University","ror":"https://ror.org/02gz6gg07","country_code":"US","type":"education","lineage":["https://openalex.org/I19700959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Sitharama Iyengar","raw_affiliation_strings":["School of Computing and Information Sciences, Florida International University,Miami,FL,USA"],"affiliations":[{"raw_affiliation_string":"School of Computing and Information Sciences, Florida International University,Miami,FL,USA","institution_ids":["https://openalex.org/I19700959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I19700959"],"apc_list":null,"apc_paid":null,"fwci":1.0953,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.83486309,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T11250","display_name":"Wave and Wind Energy Systems","score":0.1290999948978424,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11250","display_name":"Wave and Wind Energy Systems","score":0.1290999948978424,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11604","display_name":"Ship Hydrodynamics and Maneuverability","score":0.07900000363588333,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.07850000262260437,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5967000126838684},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5569999814033508},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.45969998836517334},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.3984000086784363},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.3862999975681305},{"id":"https://openalex.org/keywords/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.3580999970436096},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.3440000116825104},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.3395000100135803},{"id":"https://openalex.org/keywords/data-stream","display_name":"Data stream","score":0.32030001282691956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7093999981880188},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5967000126838684},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5569999814033508},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.45969998836517334},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4187999963760376},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41690000891685486},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.3984000086784363},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3871000111103058},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3691999912261963},{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.3580999970436096},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.3440000116825104},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3149999976158142},{"id":"https://openalex.org/C2780388253","wikidata":"https://www.wikidata.org/wiki/Q5421508","display_name":"Exponent","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.28769999742507935},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.28679999709129333},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.2750999927520752},{"id":"https://openalex.org/C2781011336","wikidata":"https://www.wikidata.org/wiki/Q1465133","display_name":"Time limit","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.27000001072883606},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2623000144958496},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.25519999861717224},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195463","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195463","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":[{"id":"https://openalex.org/G4783088283","display_name":null,"funder_award_id":"CCF-2241057,CCSS2242700","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1561382872","https://openalex.org/W1990503235","https://openalex.org/W2001150023","https://openalex.org/W2014096522","https://openalex.org/W2035490465","https://openalex.org/W2088010865","https://openalex.org/W2099111195","https://openalex.org/W2107589078","https://openalex.org/W2136861353","https://openalex.org/W2137277421","https://openalex.org/W2150879893","https://openalex.org/W2164002084","https://openalex.org/W2963881501","https://openalex.org/W2970573092","https://openalex.org/W3131271058","https://openalex.org/W3152994159","https://openalex.org/W4247848308","https://openalex.org/W4310902196","https://openalex.org/W7092403250"],"related_works":[],"abstract_inverted_index":{"This":[0,65],"work":[1],"introduces":[2],"the":[3,24,33,53,61,82,92,101,118,128,131,159,162],"Query/Hit":[4],"(Q/H)":[5],"learning":[6],"model.":[7],"The":[8,84,108],"setup":[9],"consists":[10],"of":[11,45,161,171,173],"two":[12],"agents.":[13],"One":[14],"agent,":[15],"Alice,":[16],"has":[17],"access":[18,31,80],"to":[19,32,81,116,126,157],"a":[20,43,98,111],"streaming":[21],"source,":[22],"while":[23],"other,":[25],"Bob,":[26],"does":[27],"not":[28],"have":[29],"direct":[30],"source.":[34,83],"Communication":[35],"occurs":[36],"through":[37],"sequential":[38,88],"Q/H":[39,93],"pairs:":[40],"Bob":[41],"sends":[42],"sequence":[44],"source":[46,62],"symbols":[47],"(queries),":[48],"and":[49,74,97,125,140,150,177],"Alice":[50],"responds":[51],"with":[52,71,122,130,167],"waiting":[54],"time":[55],"until":[56],"each":[57,123],"query":[58,124,129,175],"appears":[59],"in":[60,165,169],"stream":[63],"(hits).":[64],"model":[66,94],"is":[67,95,106],"motivated":[68],"by":[69],"scenarios":[70],"communication,":[72],"computation,":[73],"privacy":[75],"constraints":[76],"that":[77],"limit":[78],"real-time":[79],"error":[85,119],"exponent":[86,120],"for":[87],"hypothesis":[89],"testing":[90],"under":[91],"characterized,":[96],"querying":[99],"strategy,":[100],"Dynamic":[102],"Scout-Sentinel":[103],"Algorithm":[104],"(DSSA),":[105],"proposed.":[107],"strategy":[109,164],"employs":[110],"mutual":[112],"information":[113],"neural":[114],"estimator":[115],"compute":[117],"associated":[121],"select":[127],"highest":[132],"efficiency.":[133],"Extensive":[134],"empirical":[135],"evaluations":[136],"on":[137],"both":[138],"synthetic":[139],"real-world":[141],"datasets":[142],"-":[143,154],"including":[144],"mouse":[145],"movement":[146],"trajectories,":[147],"typesetting":[148],"patterns,":[149],"touch-based":[151],"user":[152],"interactions":[153],"are":[155],"provided":[156],"evaluate":[158],"performance":[160],"proposed":[163],"comparison":[166],"baselines,":[168],"terms":[170],"probability":[172],"error,":[174],"choice,":[176],"time-to-detection.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-21T00:00:00"}
