{"id":"https://openalex.org/W2012167287","doi":"https://doi.org/10.1198/016214501753209095","title":"Bayesian Heuristic for Multiperiod Control","display_name":"Bayesian Heuristic for Multiperiod Control","publication_year":2001,"publication_date":"2001-09-01","ids":{"openalex":"https://openalex.org/W2012167287","doi":"https://doi.org/10.1198/016214501753209095","mag":"2012167287"},"language":"en","primary_location":{"id":"doi:10.1198/016214501753209095","doi":"https://doi.org/10.1198/016214501753209095","is_oa":false,"landing_page_url":"https://doi.org/10.1198/016214501753209095","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","cwts-core","doyens","jufo-3","ki-jl-3","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"},"volume":null,"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/A5065112437","display_name":"Enrique Gonz\u00e1lez\u2010D\u00e1vila","orcid":"https://orcid.org/0000-0002-0781-9161","observed_orcids":["https://orcid.org/0000-0002-0781-9161"]},"institutions":[{"id":"https://openalex.org/I158438070","display_name":"Universidad de La Laguna","ror":"https://ror.org/01r9z8p25","country_code":"ES","type":"education","lineage":["https://openalex.org/I158438070"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Gonz\u00e1lez","raw_affiliation_strings":["Enrique Gonz\u00e1lez is Assistant Professor, Departamento de Estad\u00edstica, Investigaci\u00f3n Operativa y Computaci\u00f3n, Universidad de La Laguna, 38271 La Laguna, Spain . Josep Ginebra is Associate Professor, Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa, Universitat Polit\u00e9cnica de Catalunya, 08028 Barcelona, Spain . The authors thank Murray K. Clayton for early conversations on this topic and Prem K. Goel for many insightful discussions on topics closely related to the material in this article. The authors are also grateful to L. R. Pericchi, M. Berliner, T. L. Lai, P. M\u00fcller, and C. F. J. Wu, the associate editor, and two referees for comments on earlier versions of this manuscript"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Enrique Gonz\u00e1lez is Assistant Professor, Departamento de Estad\u00edstica, Investigaci\u00f3n Operativa y Computaci\u00f3n, Universidad de La Laguna, 38271 La Laguna, Spain . Josep Ginebra is Associate Professor, Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa, Universitat Polit\u00e9cnica de Catalunya, 08028 Barcelona, Spain . The authors thank Murray K. Clayton for early conversations on this topic and Prem K. Goel for many insightful discussions on topics closely related to the material in this article. The authors are also grateful to L. R. Pericchi, M. Berliner, T. L. Lai, P. M\u00fcller, and C. F. J. Wu, the associate editor, and two referees for comments on earlier versions of this manuscript","institution_ids":["https://openalex.org/I158438070","https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078638343","display_name":"Josep Ginebra","orcid":"https://orcid.org/0000-0001-9521-9635","observed_orcids":["https://orcid.org/0000-0001-9521-9635"]},"institutions":[{"id":"https://openalex.org/I158438070","display_name":"Universidad de La Laguna","ror":"https://ror.org/01r9z8p25","country_code":"ES","type":"education","lineage":["https://openalex.org/I158438070"]},{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josep Ginebra","raw_affiliation_strings":["Enrique Gonz\u00e1lez is Assistant Professor, Departamento de Estad\u00edstica, Investigaci\u00f3n Operativa y Computaci\u00f3n, Universidad de La Laguna, 38271 La Laguna, Spain . Josep Ginebra is Associate Professor, Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa, Universitat Polit\u00e9cnica de Catalunya, 08028 Barcelona, Spain . The authors thank Murray K. Clayton for early conversations on this topic and Prem K. Goel for many insightful discussions on topics closely related to the material in this article. The authors are also grateful to L. R. Pericchi, M. Berliner, T. L. Lai, P. M\u00fcller, and C. F. J. Wu, the associate editor, and two referees for comments on earlier versions of this manuscript"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Enrique Gonz\u00e1lez is Assistant Professor, Departamento de Estad\u00edstica, Investigaci\u00f3n Operativa y Computaci\u00f3n, Universidad de La Laguna, 38271 La Laguna, Spain . Josep Ginebra is Associate Professor, Departament d'Estad\u00edstica i Investigaci\u00f3 Operativa, Universitat Polit\u00e9cnica de Catalunya, 08028 Barcelona, Spain . The authors thank Murray K. Clayton for early conversations on this topic and Prem K. Goel for many insightful discussions on topics closely related to the material in this article. The authors are also grateful to L. R. Pericchi, M. Berliner, T. L. Lai, P. M\u00fcller, and C. F. J. Wu, the associate editor, and two referees for comments on earlier versions of this manuscript","institution_ids":["https://openalex.org/I158438070","https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5509,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73227394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"96","issue":"455","first_page":"1113","last_page":"1121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.6937999725341797,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.6937999725341797,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T11236","display_name":"Control Systems and Identification","score":0.1128000020980835,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.05350000038743019,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/sequential-design","display_name":"sequential design","score":0.6079999804496765},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"adaptive control","score":0.8220000267028809},{"id":"https://openalex.org/keywords/model-learning","display_name":"model learning","score":0.3610000014305115},{"id":"https://openalex.org/keywords/optimal-control-under-uncertainty","display_name":"optimal control under uncertainty","score":0.3400000035762787}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6218053698539734},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.5968673825263977},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5315620303153992},{"id":"https://openalex.org/C7493553","wikidata":"https://www.wikidata.org/wiki/Q1520777","display_name":"Certainty","level":2,"score":0.527522623538971},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.42935532331466675},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4175613820552826},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.24612542986869812},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1770036518573761},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1198/016214501753209095","doi":"https://doi.org/10.1198/016214501753209095","is_oa":false,"landing_page_url":"https://doi.org/10.1198/016214501753209095","pdf_url":null,"source":{"id":"https://openalex.org/S4394736638","display_name":"Journal of the American Statistical Association","issn_l":"0162-1459","issn":["0162-1459","1537-274X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","cwts-core","doyens","jufo-3","ki-jl-3","norway-2"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Statistical Association","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W73026804","https://openalex.org/W316410997","https://openalex.org/W560701065","https://openalex.org/W1595462474","https://openalex.org/W1926357153","https://openalex.org/W1965131366","https://openalex.org/W1973885534","https://openalex.org/W1995931214","https://openalex.org/W2007756875","https://openalex.org/W2058879737","https://openalex.org/W2060496070","https://openalex.org/W2063967040","https://openalex.org/W2069694591","https://openalex.org/W2075420635","https://openalex.org/W2076580309","https://openalex.org/W2077383827","https://openalex.org/W2079799230","https://openalex.org/W2091737656","https://openalex.org/W2149687330","https://openalex.org/W2261442997","https://openalex.org/W2334782222","https://openalex.org/W2346731732","https://openalex.org/W2490159962","https://openalex.org/W2623785075","https://openalex.org/W3102923851","https://openalex.org/W4299020278"],"related_works":["https://openalex.org/W2418227039","https://openalex.org/W2387971622","https://openalex.org/W1559214593","https://openalex.org/W2141935323","https://openalex.org/W2418299857","https://openalex.org/W2466655349","https://openalex.org/W2348150032","https://openalex.org/W2266786133","https://openalex.org/W2499231147","https://openalex.org/W2024983417"],"abstract_inverted_index":{"In":[0,169],"multiperiod":[1],"control":[2,255],"problems,":[3],"one":[4,48],"needs":[5],"to":[6,19,30,52,69,88,98,105,121,124,142,185,197,273,288],"sequentially":[7],"choose":[8],"the":[9,21,38,47,64,75,82,91,130,139,160,172,180,191,209,221,240,250,282],"value":[10,22,92],"of":[11,14,23,40,77,93,208,244],"a":[12,24,31,43,164,176],"set":[13],"multiple":[15],"input":[16],"variables,":[17],"xn,":[18,87],"keep":[20,90],"single":[25],"output":[26],"variable,":[27],"yn,":[28],"close":[29,97,196],"target,":[32],"T.":[33,125],"At":[34],"any":[35],"stage":[36],"n,":[37],"selection":[39],"xn":[41,50,67,115,131],"poses":[42],"difficult":[44,287],"dilemma.":[45],"On":[46,63],"hand,":[49,66],"has":[51,68],"be":[53,70,122,134,143,271],"such":[54,71,116],"that":[55,72,117,132,148,166,170,231],"(yn(xn)":[56],"-":[57],"T)2":[58],"is":[59,108,119,195,246,285],"small":[60,202],"in":[61,79,163,217,227],"expectation.":[62],"other":[65,275],"it":[73],"maximizes":[74],"amount":[76],"information":[78],"yn(xn)":[80,118,137],"about":[81,239],"model":[83,226],"relating":[84],"yn":[85],"and":[86,153,190,206,219,277],"help":[89],"future":[94],"y's":[95],"as":[96,100,262],"T":[99],"possible.":[101],"The":[102,204],"main":[103],"approach":[104,269],"this":[106],"problem":[107],"through":[109],"certainty":[110,151,181,232,257],"equivalence":[111,152,182,233,258],"designs,":[112],"which":[113,194],"select":[114,129],"estimated":[120],"equal":[123],"Instead,":[126],"myopic":[127,155,192,266],"designs":[128,147,156,211,234,259],"would":[133],"optimal":[135,198,283],"if":[136,263],"was":[138],"last":[140],"observation":[141],"made.":[144],"We":[145,229],"propose":[146],"improve":[149],"on":[150,154,253],"by":[157,249],"searching":[158],"for":[159,199,214,220],"best":[161],"design":[162,174,279],"family":[165],"contains":[167],"both.":[168],"way,":[171],"proposed":[173],"reaches":[175],"good":[177,187],"compromise":[178],"between":[179],"choice,":[183,193],"known":[184],"have":[186],"asymptotic":[188],"properties,":[189],"problems":[200,280],"with":[201],"horizons.":[203],"characteristics":[205],"performance":[207],"new":[210],"are":[212,260],"explored":[213],"regression":[215,225],"models":[216],"general":[218],"first":[222],"order":[223],"linear":[224],"particular.":[228],"observe":[230],"induce":[235],"too":[236,286],"much":[237],"learning":[238],"model,":[241],"just":[242],"opposite":[243],"what":[245],"sometimes":[247],"implied":[248],"engineering":[251],"literature":[252],"adaptive":[254],"when":[256],"treated":[261],"they":[264],"were":[265],"designs.":[267],"Our":[268],"can":[270],"exported":[272],"many":[274],"sequential":[276],"nonsequential":[278],"where":[281],"rule":[284],"compute.":[289]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2025-10-10T00:00:00"}