{"id":"https://openalex.org/W4401090734","doi":"https://doi.org/10.1145/3682059","title":"A Uniform Error Bound for Stochastic Kriging: Properties and Implications on Simulation Experimental Design","display_name":"A Uniform Error Bound for Stochastic Kriging: Properties and Implications on Simulation Experimental Design","publication_year":2024,"publication_date":"2024-07-29","ids":{"openalex":"https://openalex.org/W4401090734","doi":"https://doi.org/10.1145/3682059"},"language":"en","primary_location":{"id":"doi:10.1145/3682059","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3682059","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3682059","source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3682059","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100329867","display_name":"Xi Chen","orcid":"https://orcid.org/0000-0001-7965-9198"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xi Chen","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States"],"raw_orcid":"https://orcid.org/0000-0001-7965-9198","affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yutong Zhang","orcid":"https://orcid.org/0009-0002-1464-8847"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yutong Zhang","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States"],"raw_orcid":"https://orcid.org/0009-0002-1464-8847","affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035006590","display_name":"Guangrui Xie","orcid":"https://orcid.org/0000-0001-6338-1427"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guangrui Xie","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States"],"raw_orcid":"https://orcid.org/0000-0001-6338-1427","affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100558250","display_name":"Zhang Jingtao","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingtao Zhang","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States"],"raw_orcid":"https://orcid.org/0009-0007-3772-3498","affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, United States","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100329867"],"corresponding_institution_ids":["https://openalex.org/I859038795"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14090415,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":"1","first_page":"1","last_page":"43"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9986000061035156,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9980999827384949,"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/infimum-and-supremum","display_name":"Infimum and supremum","score":0.8837476372718811},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6962153315544128},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5882993340492249},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5570067763328552},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5554491281509399},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.5065113306045532},{"id":"https://openalex.org/keywords/uniform-norm","display_name":"Uniform norm","score":0.48784613609313965},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45878201723098755},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.45389673113822937},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.45328620076179504},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.45135533809661865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4474845826625824},{"id":"https://openalex.org/keywords/approximation-error","display_name":"Approximation error","score":0.44652417302131653},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35662323236465454},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3157370090484619},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.09292083978652954},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07849326729774475}],"concepts":[{"id":"https://openalex.org/C95611797","wikidata":"https://www.wikidata.org/wiki/Q17502105","display_name":"Infimum and supremum","level":2,"score":0.8837476372718811},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6962153315544128},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5882993340492249},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5570067763328552},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5554491281509399},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.5065113306045532},{"id":"https://openalex.org/C146324458","wikidata":"https://www.wikidata.org/wiki/Q1202673","display_name":"Uniform norm","level":2,"score":0.48784613609313965},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45878201723098755},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.45389673113822937},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.45328620076179504},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.45135533809661865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4474845826625824},{"id":"https://openalex.org/C122383733","wikidata":"https://www.wikidata.org/wiki/Q865920","display_name":"Approximation error","level":2,"score":0.44652417302131653},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35662323236465454},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3157370090484619},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.09292083978652954},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07849326729774475},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3682059","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3682059","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3682059","source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},{"id":"pmh:oai:vtechworks.lib.vt.edu:10919/120882","is_oa":true,"landing_page_url":"https://hdl.handle.net/10919/120882","pdf_url":"https://vtechworks.lib.vt.edu/bitstreams/3b2fdbaf-9c4a-4e4c-b2a8-a68914395f59/download","source":{"id":"https://openalex.org/S4306400248","display_name":"VTechWorks (Virginia Tech)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I859038795","host_organization_name":"Virginia Tech","host_organization_lineage":["https://openalex.org/I859038795"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3682059","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3682059","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3682059","source":{"id":"https://openalex.org/S38703467","display_name":"ACM Transactions on Modeling and Computer Simulation","issn_l":"1049-3301","issn":["1049-3301","1558-1195"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Modeling and Computer Simulation","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2776549241","display_name":null,"funder_award_id":"CMMI-1846663","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3387330441","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G3467644047","display_name":null,"funder_award_id":"1846663","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G5082042234","display_name":"CAREER: Model-Free Input Screening and Sensitivity Analysis in Simulation Metamodeling","funder_award_id":"1846663","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6671297155","display_name":null,"funder_award_id":"CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7044427252","display_name":null,"funder_award_id":"1849300","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7271422709","display_name":null,"funder_award_id":"IIS-1849300","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"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401090734.pdf","grobid_xml":"https://content.openalex.org/works/W4401090734.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W836369787","https://openalex.org/W1486164486","https://openalex.org/W1502922572","https://openalex.org/W1560153690","https://openalex.org/W1949316042","https://openalex.org/W1965644511","https://openalex.org/W1972643444","https://openalex.org/W1982539084","https://openalex.org/W1985905466","https://openalex.org/W2049423498","https://openalex.org/W2065856880","https://openalex.org/W2070330278","https://openalex.org/W2074280145","https://openalex.org/W2076699062","https://openalex.org/W2078594829","https://openalex.org/W2082965617","https://openalex.org/W2093189858","https://openalex.org/W2094759493","https://openalex.org/W2123805128","https://openalex.org/W2133255100","https://openalex.org/W2133650881","https://openalex.org/W2138103271","https://openalex.org/W2160566248","https://openalex.org/W2161433505","https://openalex.org/W2163286960","https://openalex.org/W2166566250","https://openalex.org/W2333949113","https://openalex.org/W2422899571","https://openalex.org/W2599820605","https://openalex.org/W2790254854","https://openalex.org/W2811289231","https://openalex.org/W2818855837","https://openalex.org/W2912099989","https://openalex.org/W2951805582","https://openalex.org/W2998235384","https://openalex.org/W3000624331","https://openalex.org/W3005376327","https://openalex.org/W3027484068","https://openalex.org/W3035032733","https://openalex.org/W3093963562","https://openalex.org/W3123026557","https://openalex.org/W3147833427","https://openalex.org/W3170512865","https://openalex.org/W3170574689","https://openalex.org/W4211030719","https://openalex.org/W4213138763","https://openalex.org/W4244489799","https://openalex.org/W4249753629","https://openalex.org/W4287899646","https://openalex.org/W4380434451"],"related_works":["https://openalex.org/W3171267590","https://openalex.org/W2035984587","https://openalex.org/W4385292186","https://openalex.org/W4240330603","https://openalex.org/W2084355591","https://openalex.org/W3006853787","https://openalex.org/W3101736879","https://openalex.org/W1455652203","https://openalex.org/W2058085174","https://openalex.org/W2347317462"],"abstract_inverted_index":{"In":[0,17],"this":[1],"work,":[2],"we":[3,28,106],"propose":[4],"a":[5,9,84],"method":[6],"to":[7,132],"construct":[8],"uniform":[10,25,96,116,130],"error":[11,26,97,117],"bound":[12,131],"for":[13,82,100],"the":[14,19,23,30,38,52,60,65,72,95,108,115,125,128,133],"SK":[15,56],"predictor.":[16],"investigating":[18],"asymptotic":[20],"properties":[21,54],"of":[22,33,55,74,88,110,127],"proposed":[24,129],"bound,":[27,98],"examine":[29],"convergence":[31,86],"rate":[32,87],"SK\u2019s":[34,89,102],"predictive":[35],"variance":[36,112],"under":[37,139],"supremum":[39],"norm":[40],"in":[41],"both":[42],"fixed":[43],"and":[44,64,99,121],"random":[45],"design":[46],"settings.":[47],"Our":[48],"analyses":[49],"reveal":[50],"that":[51],"large-sample":[53],"prediction":[57],"depend":[58],"on":[59,114],"design-point":[61],"sampling":[62],"scheme":[63,68],"budget":[66,78],"allocation":[67,79],"adopted.":[69],"Appropriately":[70],"controlling":[71],"order":[73],"noise":[75,111],"variances":[76],"through":[77,143],"is":[80],"crucial":[81],"achieving":[83],"desirable":[85],"approximation":[90],"error,":[91],"as":[92],"quantified":[93],"by":[94],"maintaining":[101],"numerical":[103,144],"stability.":[104],"Moreover,":[105],"investigate":[107],"impact":[109],"estimation":[113],"bound\u2019s":[118],"performance":[119],"theoretically":[120],"numerically.":[122],"We":[123],"demonstrate":[124],"superiority":[126],"Bonferroni":[134],"correction-based":[135],"simultaneous":[136],"confidence":[137],"interval":[138],"various":[140],"experimental":[141],"settings":[142],"evaluations.":[145]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
