{"id":"https://openalex.org/W2065233986","doi":"https://doi.org/10.1145/2658995","title":"Gradient Extrapolated Stochastic Kriging","display_name":"Gradient Extrapolated Stochastic Kriging","publication_year":2014,"publication_date":"2014-08-13","ids":{"openalex":"https://openalex.org/W2065233986","doi":"https://doi.org/10.1145/2658995","mag":"2065233986"},"language":"en","primary_location":{"id":"doi:10.1145/2658995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658995","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009498321","display_name":"Huashuai Qu","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":true,"raw_author_name":"Huashuai Qu","raw_affiliation_strings":["University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","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":["University of Maryland, College Park, MD"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009498321"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":5.1181,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.95783352,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"4","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9979000091552734,"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":0.9979000091552734,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9919999837875366,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9794999957084656,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.782368540763855},{"id":"https://openalex.org/keywords/extrapolation","display_name":"Extrapolation","score":0.7623867988586426},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5904826521873474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5309574007987976},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5066321492195129},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4935559034347534},{"id":"https://openalex.org/keywords/gradient-method","display_name":"Gradient method","score":0.42225080728530884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3709172010421753},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3520399332046509},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31204235553741455}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.782368540763855},{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.7623867988586426},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5904826521873474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5309574007987976},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5066321492195129},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4935559034347534},{"id":"https://openalex.org/C115680565","wikidata":"https://www.wikidata.org/wiki/Q5977448","display_name":"Gradient method","level":2,"score":0.42225080728530884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3709172010421753},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3520399332046509},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31204235553741455}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2658995","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2658995","pdf_url":null,"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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1891607544","display_name":null,"funder_award_id":"71071040","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4364296206","display_name":null,"funder_award_id":"CMMI-0856256","funder_id":"https://openalex.org/F4320337391","funder_display_name":"Division of Civil, Mechanical and Manufacturing Innovation"},{"id":"https://openalex.org/G6427125657","display_name":null,"funder_award_id":"FA9550-10-10340","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W48555456","https://openalex.org/W1558516341","https://openalex.org/W1593494339","https://openalex.org/W1964350656","https://openalex.org/W1972034416","https://openalex.org/W1982539084","https://openalex.org/W2018044188","https://openalex.org/W2054836987","https://openalex.org/W2055635846","https://openalex.org/W2100851059","https://openalex.org/W2101754110","https://openalex.org/W2102872851","https://openalex.org/W2104827390","https://openalex.org/W2118000334","https://openalex.org/W2121854189","https://openalex.org/W2127400694","https://openalex.org/W2128132991","https://openalex.org/W2133650881","https://openalex.org/W2144808055","https://openalex.org/W2154296347","https://openalex.org/W2163286960","https://openalex.org/W2317688037","https://openalex.org/W3100411319","https://openalex.org/W4249753629"],"related_works":["https://openalex.org/W4296478327","https://openalex.org/W2042397106","https://openalex.org/W2333625343","https://openalex.org/W4361730764","https://openalex.org/W1965029248","https://openalex.org/W2786502182","https://openalex.org/W1960072520","https://openalex.org/W2220129715","https://openalex.org/W2023776155","https://openalex.org/W2387596242"],"abstract_inverted_index":{"We":[0],"introduce":[1],"an":[2],"approach":[3],"for":[4],"enhancing":[5],"stochastic":[6,37,64],"kriging":[7,38,65],"in":[8],"the":[9,27,79,82,92,110,113],"setting":[10],"where":[11],"additional":[12,47],"direct":[13,42],"gradient":[14,35,43],"information":[15],"is":[16],"available":[17],"(e.g.,":[18],"provided":[19],"by":[20,45],"techniques":[21],"such":[22],"as":[23],"perturbation":[24],"analysis":[25],"or":[26],"likelihood":[28,97],"ratio":[29],"method).":[30],"The":[31],"new":[32],"approach,":[33],"called":[34],"extrapolated":[36],"(GESK)":[39],",":[40],"incorporates":[41],"estimates":[44],"extrapolating":[46],"responses.":[48],"For":[49],"two":[50,87],"simplified":[51],"settings,":[52],"we":[53,85],"show":[54],"that":[55],"GESK":[56,83,114],"reduces":[57],"mean":[58,101],"squared":[59,102],"error":[60],"(MSE)":[61],"compared":[62],"to":[63,78,90,108,117],"under":[66],"certain":[67],"conditions":[68],"on":[69],"step":[70,74,93],"sizes.":[71],"Since":[72],"extrapolation":[73],"sizes":[75],"are":[76,106],"crucial":[77],"performance":[80,111],"of":[81,112],"model,":[84],"propose":[86],"different":[88],"approaches":[89],"determine":[91],"sizes:":[94],"maximizing":[95],"penalized":[96],"and":[98,116],"minimizing":[99],"integrated":[100],"error.":[103],"Numerical":[104],"experiments":[105],"conducted":[107],"illustrate":[109],"model":[115],"compare":[118],"it":[119],"with":[120],"alternative":[121],"approaches.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
