{"id":"https://openalex.org/W2899243757","doi":"https://doi.org/10.1137/18m1224544","title":"A Sequential Design Approach for Calibrating Dynamic Computer Simulators","display_name":"A Sequential Design Approach for Calibrating Dynamic Computer Simulators","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2899243757","doi":"https://doi.org/10.1137/18m1224544","mag":"2899243757"},"language":"en","primary_location":{"id":"doi:10.1137/18m1224544","is_oa":false,"landing_page_url":"https://doi.org/10.1137/18m1224544","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1811.00153","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ru Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ru Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"C. Devon Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"C. Devon Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Pritam Ranjan","orcid":"https://orcid.org/0000-0002-9917-6377"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pritam Ranjan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-9917-6377","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2911,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.7243226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":"4","first_page":"1245","last_page":"1274"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.5989999771118164,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12093","display_name":"Greenhouse Technology and Climate Control","score":0.5989999771118164,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10135","display_name":"Insect-Plant Interactions and Control","score":0.15299999713897705,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12043","display_name":"Insect behavior and control techniques","score":0.02979999966919422,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5623000264167786},{"id":"https://openalex.org/keywords/computer-experiment","display_name":"Computer experiment","score":0.553600013256073},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4611999988555908},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4523000121116638},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4426000118255615},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4415999948978424},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.382999986410141},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.38179999589920044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556000113487244},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5623000264167786},{"id":"https://openalex.org/C87466663","wikidata":"https://www.wikidata.org/wiki/Q5157537","display_name":"Computer experiment","level":2,"score":0.553600013256073},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4611999988555908},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4426000118255615},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4415999948978424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4361000061035156},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.4097000062465668},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.382999986410141},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C2777362769","wikidata":"https://www.wikidata.org/wiki/Q40056","display_name":"Computer program","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C57691317","wikidata":"https://www.wikidata.org/wiki/Q1289248","display_name":"Scalar (mathematics)","level":2,"score":0.34689998626708984},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.34279999136924744},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.3366999924182892},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2921999990940094},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2870999872684479},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.28299999237060547},{"id":"https://openalex.org/C34972735","wikidata":"https://www.wikidata.org/wiki/Q2920267","display_name":"Engineering design process","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C2777127463","wikidata":"https://www.wikidata.org/wiki/Q10862618","display_name":"Saddle","level":2,"score":0.2816999852657318},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C149808339","wikidata":"https://www.wikidata.org/wiki/Q5319019","display_name":"Dynamic simulation","level":2,"score":0.25440001487731934}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1137/18m1224544","is_oa":false,"landing_page_url":"https://doi.org/10.1137/18m1224544","pdf_url":null,"source":{"id":"https://openalex.org/S2911293512","display_name":"SIAM/ASA Journal on Uncertainty Quantification","issn_l":"2166-2525","issn":["2166-2525"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM/ASA Journal on Uncertainty Quantification","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1811.00153","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.00153","pdf_url":"https://arxiv.org/pdf/1811.00153","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"pmh:oai:arXiv.org:1811.00153","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1811.00153","pdf_url":"https://arxiv.org/pdf/1811.00153","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7774015555","display_name":null,"funder_award_id":"EMR/2016/003332/MS","funder_id":"https://openalex.org/F4320334771","funder_display_name":"Science and Engineering Research Board"}],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320334771","display_name":"Science and Engineering Research Board","ror":"https://ror.org/03ffdsr55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1510052597","https://openalex.org/W1973333099","https://openalex.org/W1977822596","https://openalex.org/W1996433205","https://openalex.org/W2003884505","https://openalex.org/W2008843571","https://openalex.org/W2043653481","https://openalex.org/W2049633694","https://openalex.org/W2053934160","https://openalex.org/W2066344471","https://openalex.org/W2067278522","https://openalex.org/W2068529045","https://openalex.org/W2078454401","https://openalex.org/W2111508323","https://openalex.org/W2114452512","https://openalex.org/W2115428677","https://openalex.org/W2121437933","https://openalex.org/W2135348862","https://openalex.org/W2151220274","https://openalex.org/W2151313061","https://openalex.org/W2155162055","https://openalex.org/W2475118633","https://openalex.org/W2557808584","https://openalex.org/W2736380262","https://openalex.org/W2963045461","https://openalex.org/W2964037800","https://openalex.org/W4297776957"],"related_works":[],"abstract_inverted_index":{"Computer":[0],"simulators":[1,37],"are":[2],"widely":[3],"used":[4,141,192],"to":[5,27,45,61,127,193,203],"describe":[6],"and":[7,95,184],"explore":[8],"complex":[9],"physical":[10],"processes.":[11],"The":[12,86],"simulator":[13,69,97,111],"outputs":[14,98],"may":[15],"come":[16],"in":[17,107],"various":[18],"formats:":[19],"scalar,":[20],"multivariate,":[21],"functional,":[22],"time":[23,39,87,129],"series,":[24],"spatial":[25],"temporal,":[26],"name":[28],"just":[29],"a":[30,75,132,148,167,185],"few.":[31],"This":[32],"work":[33],"focuses":[34],"on":[35],"computer":[36,48,57,123],"with":[38],"series":[40,88,130],"outputs,":[41],"which":[42],"we":[43,115],"refer":[44],"as":[46,82,84,201],"dynamic":[47,56],"simulators.":[49],"We":[50,164],"consider":[51],"the":[52,63,68,72,79,92,96,100,108,117,128,143,161,172,178,198,204],"inverse":[53,101,174],"problem":[54,102,175],"for":[55,142,159,170],"simulators,":[58],"that":[59,70],"is,":[60],"estimate":[62],"set":[64],"of":[65,67,90,122,197],"parameters/inputs":[66],"produces":[71],"output":[73],"matching":[74],"prespecified":[76],"target,":[77],"or":[78],"field":[80,93],"observation,":[81],"closely":[83],"possible.":[85],"nature":[89],"both":[91],"observation":[94],"makes":[99],"significantly":[103],"more":[104],"challenging":[105],"than":[106],"scalar":[109],"valued":[110],"case.":[112],"In":[113],"spirit,":[114],"follow":[116],"popular":[118,205],"sequential":[119],"design":[120],"framework":[121],"experiments.":[124],"However,":[125],"due":[126],"response,":[131],"singular":[133],"value":[134],"decomposition":[135],"based":[136,153],"Gaussian":[137],"process":[138],"model":[139,145,189],"is":[140,157],"surrogate":[144],"and,":[146],"subsequently,":[147],"new":[149,168],"saddle":[150],"point":[151],"approximation":[152],"expected":[154],"improvement":[155],"criterion":[156,169],"developed":[158],"choosing":[160],"follow-up":[162],"points.":[163],"also":[165],"propose":[166],"extracting":[171],"optimal":[173],"solution":[176],"from":[177],"final":[179],"surrogate.":[180],"Three":[181],"simulated":[182],"examples":[183],"real-life":[186],"two-delay":[187],"blowfly":[188],"have":[190],"been":[191],"demonstrate":[194],"higher":[195],"accuracy":[196],"proposed":[199],"approach":[200],"compared":[202],"existing":[206],"techniques.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2018-11-09T00:00:00"}