{"id":"https://openalex.org/W1614024396","doi":"https://doi.org/10.1109/isit.2015.7282436","title":"Sequential detection of transient changes in stochastic systems under a sampling constraint","display_name":"Sequential detection of transient changes in stochastic systems under a sampling constraint","publication_year":2015,"publication_date":"2015-06-01","ids":{"openalex":"https://openalex.org/W1614024396","doi":"https://doi.org/10.1109/isit.2015.7282436","mag":"1614024396"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2015.7282436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"preprint","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/A5091635931","display_name":"Ehsan Ebrahimzadeh","orcid":null},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ehsan Ebrahimzadeh","raw_affiliation_strings":["University of California, Los Angeles","University of California Los Angeles UNITED STATES"],"affiliations":[{"raw_affiliation_string":"University of California, Los Angeles","institution_ids":["https://openalex.org/I161318765"]},{"raw_affiliation_string":"University of California Los Angeles UNITED STATES","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066791677","display_name":"Aslan Tchamkerten","orcid":"https://orcid.org/0000-0001-5752-943X"},"institutions":[{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Aslan Tchamkerten","raw_affiliation_strings":["Telecom ParisTech","Telecom ParisTech, Rue Dareau, 75013, France"],"affiliations":[{"raw_affiliation_string":"Telecom ParisTech","institution_ids":["https://openalex.org/I12356871"]},{"raw_affiliation_string":"Telecom ParisTech, Rue Dareau, 75013, France","institution_ids":["https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091635931"],"corresponding_institution_ids":["https://openalex.org/I161318765"],"apc_list":null,"apc_paid":null,"fwci":1.52250977,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88566343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"47","issue":null,"first_page":"156","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9995999932289124,"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":0.9995999932289124,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9703999757766724,"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/T13690","display_name":"Quality and Safety in Healthcare","score":0.9569000005722046,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/minimax","display_name":"Minimax","score":0.7938479781150818},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7330901622772217},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.6638326048851013},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5954571962356567},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.5747330188751221},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.557087242603302},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5165807008743286},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5071544647216797},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.4754897356033325},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4565642774105072},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4419131278991699},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4093344807624817},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3812524080276489},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3338373899459839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13687235116958618},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11003702878952026}],"concepts":[{"id":"https://openalex.org/C149728462","wikidata":"https://www.wikidata.org/wiki/Q751319","display_name":"Minimax","level":2,"score":0.7938479781150818},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7330901622772217},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.6638326048851013},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5954571962356567},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.5747330188751221},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.557087242603302},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5165807008743286},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5071544647216797},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.4754897356033325},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4565642774105072},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4419131278991699},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4093344807624817},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3812524080276489},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3338373899459839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13687235116958618},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11003702878952026},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit.2015.7282436","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2015.7282436","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/W1703793933","https://openalex.org/W1967128863","https://openalex.org/W1981904416","https://openalex.org/W2018319586","https://openalex.org/W2019946858","https://openalex.org/W2051649392","https://openalex.org/W2071779179","https://openalex.org/W2092224475","https://openalex.org/W2102134363","https://openalex.org/W2112072995","https://openalex.org/W2114847643","https://openalex.org/W2153303172","https://openalex.org/W2491514954","https://openalex.org/W6637585145"],"related_works":["https://openalex.org/W4298235997","https://openalex.org/W1552534071","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2010501297","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W2148298232","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"The":[0],"problem":[1],"of":[2,9,24,49,95],"detecting":[3],"a":[4,10,19,28,42,47,54,66,96,111],"transient":[5,112],"change":[6,33,97,113,127],"in":[7,75],"distribution":[8],"discrete":[11],"time":[12,34,59],"series":[13],"is":[14,18,35,39,80,137],"investigated":[15],"when":[16],"there":[17,86],"constraint":[20,55,67],"on":[21,56,68,91],"the":[22,32,37,57,69,73,76,92,120,126],"number":[23],"observed":[25],"samples.":[26],"Under":[27],"minimax":[29],"setting":[30],"where":[31],"unknown,":[36],"objective":[38],"to":[40,60],"design":[41],"statistical":[43],"test":[44],"that":[45,82,98],"minimizes":[46],"measure":[48],"worst":[50],"case":[51],"delay":[52],"under":[53,83,134],"average":[58],"false":[61,105],"alarm":[62,106],"as":[63,65,131,133],"well":[64],"sampling":[70,85,122,136],"rate.":[71],"Leveraging":[72],"results":[74],"non-transient":[77],"setting,":[78],"it":[79],"shown":[81],"full":[84,135],"exists":[87],"an":[88],"asymptotic":[89,118],"threshold":[90],"minimum":[93],"duration":[94,115],"can":[99,128],"be":[100,129],"detected":[101,130],"reliably":[102],"with":[103,114],"such":[104],"constrained":[107],"tests.":[108],"Next,":[109],"given":[110],"above":[116],"this":[117],"threshold,":[119],"smallest":[121],"rate":[123],"for":[124],"which":[125],"efficiently":[132],"characterized":[138],"asymptotically.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}