{"id":"https://openalex.org/W3008728847","doi":"https://doi.org/10.1109/wsc40007.2019.9004739","title":"Utility-Based Statistical Selection Procedures","display_name":"Utility-Based Statistical Selection Procedures","publication_year":2019,"publication_date":"2019-12-01","ids":{"openalex":"https://openalex.org/W3008728847","doi":"https://doi.org/10.1109/wsc40007.2019.9004739","mag":"3008728847"},"language":"en","primary_location":{"id":"doi:10.1109/wsc40007.2019.9004739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","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/A5103513968","display_name":"Guowei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guowei Sun","raw_affiliation_strings":["Department of Mathematics, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101761583","display_name":"Yunchuan Li","orcid":"https://orcid.org/0000-0003-2716-6214"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunchuan Li","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000889975","display_name":"Michael C. Fu","orcid":"https://orcid.org/0000-0003-2105-4932"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael C. Fu","raw_affiliation_strings":["Robert H. Smith School of Business, University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robert H. Smith School of Business, University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"3416","last_page":"3427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9948999881744385,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9948999881744385,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9944000244140625,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9921000003814697,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6848630905151367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6847844123840332},{"id":"https://openalex.org/keywords/value-of-information","display_name":"Value of information","score":0.5840985774993896},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5768099427223206},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5432748198509216},{"id":"https://openalex.org/keywords/expected-utility-hypothesis","display_name":"Expected utility hypothesis","score":0.5312613844871521},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.530652642250061},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48103266954421997},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47907453775405884},{"id":"https://openalex.org/keywords/asymptotically-optimal-algorithm","display_name":"Asymptotically optimal algorithm","score":0.4515322148799896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2330702543258667},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21570807695388794},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.15948030352592468}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6848630905151367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6847844123840332},{"id":"https://openalex.org/C92424840","wikidata":"https://www.wikidata.org/wiki/Q7912772","display_name":"Value of information","level":2,"score":0.5840985774993896},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5768099427223206},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5432748198509216},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.5312613844871521},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.530652642250061},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48103266954421997},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47907453775405884},{"id":"https://openalex.org/C181789720","wikidata":"https://www.wikidata.org/wiki/Q4812191","display_name":"Asymptotically optimal algorithm","level":2,"score":0.4515322148799896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2330702543258667},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21570807695388794},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.15948030352592468},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc40007.2019.9004739","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc40007.2019.9004739","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1504886722","https://openalex.org/W1510052597","https://openalex.org/W1536615069","https://openalex.org/W1647779468","https://openalex.org/W1698608285","https://openalex.org/W1730950075","https://openalex.org/W1986412858","https://openalex.org/W2037728958","https://openalex.org/W2041946752","https://openalex.org/W2112839499","https://openalex.org/W2117201622","https://openalex.org/W2127306098","https://openalex.org/W2140481308","https://openalex.org/W2155927283","https://openalex.org/W2158323882","https://openalex.org/W2401855953","https://openalex.org/W2499226730","https://openalex.org/W2500748105","https://openalex.org/W2796289712","https://openalex.org/W2970576388","https://openalex.org/W2979172579","https://openalex.org/W4243363090","https://openalex.org/W4247922732"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2536838197","https://openalex.org/W1967128863","https://openalex.org/W2148298232","https://openalex.org/W2070646139","https://openalex.org/W3121360823","https://openalex.org/W3125788936"],"abstract_inverted_index":{"We":[0,124],"present":[1],"two":[2,139],"sequential":[3],"allocation":[4,86,131],"frameworks":[5,28],"for":[6,118],"selecting":[7],"from":[8],"a":[9,52,78,108],"set":[10],"of":[11,40,54,77,103,110,114,121,129,137],"competing":[12],"alternatives":[13],"when":[14],"the":[15,23,38,55,70,74,83,89,111,122,126,135,138],"decision":[16],"maker":[17],"cares":[18],"about":[19],"more":[20],"than":[21],"just":[22],"simple":[24],"expected":[25],"rewards.":[26],"The":[27,60,94],"are":[29],"built":[30],"on":[31],"general":[32],"parametric":[33],"reward":[34,57],"distributions":[35],"and":[36,133],"assume":[37],"objective":[39],"selection,":[41],"which":[42,63,96],"we":[43,64,97],"refer":[44,98],"to":[45,72,81,99],"as":[46,51,100],"utility,":[47],"can":[48],"be":[49],"expressed":[50],"function":[53],"governing":[56],"distributional":[58],"parameters.":[59],"first":[61],"algorithm,":[62],"call":[65],"utility-based":[66,101],"OCBA":[67],"(UOCBA),":[68],"uses":[69],"\u0394-technique":[71],"find":[73],"asymptotic":[75,127],"distribution":[76],"utility":[79],"estimator":[80],"establish":[82,125],"asymptotically":[84],"optimal":[85],"by":[87],"solving":[88],"corresponding":[90],"constrained":[91],"optimization":[92],"problem.":[93],"second,":[95],"value":[102,113],"information":[104,115],"(UVoI)":[105],"approach,":[106],"is":[107],"variation":[109],"Bayesian":[112],"(VoI)":[116],"techniques":[117],"efficient":[119],"learning":[120],"utility.":[123],"optimality":[128],"both":[130],"policies":[132],"illustrate":[134],"performance":[136],"algorithms":[140],"through":[141],"numerical":[142],"experiments.":[143]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
