{"id":"https://openalex.org/W4379233564","doi":"https://doi.org/10.1109/access.2023.3277521","title":"Data-Driven Method to Quantify Correlated Uncertainties","display_name":"Data-Driven Method to Quantify Correlated Uncertainties","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4379233564","doi":"https://doi.org/10.1109/access.2023.3277521"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3277521","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3277521","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129195.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129195.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001704071","display_name":"Jeahan Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeahan Jung","raw_affiliation_strings":["Department of Mathematics, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-6430-4087","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101396625","display_name":"Minseok Choi","orcid":"https://orcid.org/0000-0002-7245-0823"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minseok Choi","raw_affiliation_strings":["Department of Mathematics, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-7245-0823","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Pohang University of Science and Technology (POSTECH), Pohang, Gyeongbuk, Republic of Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.2146,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59823217,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"11","issue":null,"first_page":"50605","last_page":"50618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9998999834060669,"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/T11206","display_name":"Model Reduction and Neural Networks","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9275000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.700444757938385},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5413077473640442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49306508898735046},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4854748547077179},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47336575388908386},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4588748514652252},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.45061010122299194},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4245564341545105},{"id":"https://openalex.org/keywords/polynomial-chaos","display_name":"Polynomial chaos","score":0.41402170062065125},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.41079044342041016},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.33737364411354065},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33196961879730225},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31459665298461914}],"concepts":[{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.700444757938385},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5413077473640442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49306508898735046},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4854748547077179},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47336575388908386},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4588748514652252},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.45061010122299194},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4245564341545105},{"id":"https://openalex.org/C197656079","wikidata":"https://www.wikidata.org/wiki/Q17147719","display_name":"Polynomial chaos","level":3,"score":0.41402170062065125},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.41079044342041016},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.33737364411354065},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33196961879730225},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31459665298461914},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3277521","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3277521","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129195.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b99f60329ff3422f9f4d719ad9d64fa2","is_oa":true,"landing_page_url":"https://doaj.org/article/b99f60329ff3422f9f4d719ad9d64fa2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 50605-50618 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3277521","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3277521","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/10005208/10129195.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4640205972","display_name":null,"funder_award_id":"2021R1C1C1007875","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7427909768","display_name":null,"funder_award_id":"NRF-2021R1C1C1007875","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379233564.pdf","grobid_xml":"https://content.openalex.org/works/W4379233564.grobid-xml"},"referenced_works_count":75,"referenced_works":["https://openalex.org/W1538934584","https://openalex.org/W1595543324","https://openalex.org/W1759920278","https://openalex.org/W1880751280","https://openalex.org/W1964960445","https://openalex.org/W1965093639","https://openalex.org/W1965334444","https://openalex.org/W1974963628","https://openalex.org/W1975760186","https://openalex.org/W1977168166","https://openalex.org/W1980635834","https://openalex.org/W1982421072","https://openalex.org/W1983156129","https://openalex.org/W1986474611","https://openalex.org/W1989004585","https://openalex.org/W1995565517","https://openalex.org/W2001996291","https://openalex.org/W2010737928","https://openalex.org/W2011210612","https://openalex.org/W2015028916","https://openalex.org/W2018159038","https://openalex.org/W2020328455","https://openalex.org/W2031946900","https://openalex.org/W2035253925","https://openalex.org/W2035665246","https://openalex.org/W2045355467","https://openalex.org/W2056558085","https://openalex.org/W2081023708","https://openalex.org/W2083415217","https://openalex.org/W2083845086","https://openalex.org/W2088174986","https://openalex.org/W2096969866","https://openalex.org/W2100179204","https://openalex.org/W2113127808","https://openalex.org/W2113337191","https://openalex.org/W2113517083","https://openalex.org/W2136602340","https://openalex.org/W2139388835","https://openalex.org/W2142863015","https://openalex.org/W2143591652","https://openalex.org/W2146476360","https://openalex.org/W2150062983","https://openalex.org/W2158829028","https://openalex.org/W2164667965","https://openalex.org/W2168170318","https://openalex.org/W2170798819","https://openalex.org/W2171971725","https://openalex.org/W2314409204","https://openalex.org/W2464224693","https://openalex.org/W2612264875","https://openalex.org/W2613825967","https://openalex.org/W2743379961","https://openalex.org/W2765375711","https://openalex.org/W2776810973","https://openalex.org/W2784834815","https://openalex.org/W2898442686","https://openalex.org/W2920764792","https://openalex.org/W2924441742","https://openalex.org/W2934762294","https://openalex.org/W2955934858","https://openalex.org/W2962852715","https://openalex.org/W2962864096","https://openalex.org/W2963089830","https://openalex.org/W3004945969","https://openalex.org/W3016213340","https://openalex.org/W3034955499","https://openalex.org/W3087464462","https://openalex.org/W3126465948","https://openalex.org/W4213447466","https://openalex.org/W4214754825","https://openalex.org/W4247680473","https://openalex.org/W4310673591","https://openalex.org/W6737642498","https://openalex.org/W6737986231","https://openalex.org/W6847023459"],"related_works":["https://openalex.org/W3215394929","https://openalex.org/W2108001913","https://openalex.org/W2517755966","https://openalex.org/W2014910883","https://openalex.org/W2789381754","https://openalex.org/W4403887298","https://openalex.org/W2981659597","https://openalex.org/W3158222746","https://openalex.org/W2998325883","https://openalex.org/W2811262943"],"abstract_inverted_index":{"Polynomial":[0],"chaos":[1],"(PC)":[2],"has":[3],"been":[4],"proven":[5],"to":[6,110,145,156],"be":[7],"an":[8,118],"efficient":[9],"method":[10,47,128],"for":[11,48,55],"uncertainty":[12,56],"quantification,":[13],"but":[14],"its":[15],"applicability":[16],"is":[17,68],"limited":[18],"by":[19,125],"two":[20],"strong":[21],"assumptions:":[22],"the":[23,30,36,39,64,71,96,100,107,130,157],"mutual":[24],"independence":[25],"of":[26,32,38,63,73,121,153],"random":[27,40,53,65,75,79,102],"variables":[28,54,76],"and":[29],"requirement":[31],"exact":[33],"knowledge":[34],"about":[35,95],"distribution":[37],"variables.":[41,66,80],"We":[42,81,134],"describe":[43],"a":[44,87,112,149],"new":[45],"data-driven":[46],"dealing":[49],"with":[50,129,148],"correlated":[51,74],"multivariate":[52],"quantification":[57],"that":[58,90,140],"requires":[59],"only":[60],"observed":[61],"data":[62],"It":[67],"based":[69],"on":[70],"transformation":[72,88],"into":[77],"independent":[78],"use":[82],"singular":[83],"value":[84],"decomposition":[85],"as":[86],"strategy":[89],"does":[91],"not":[92],"require":[93],"information":[94],"probability":[97],"distribution.":[98],"For":[99],"transformed":[101],"variables,":[103],"we":[104],"can":[105],"construct":[106],"PC":[108],"basis":[109],"build":[111],"surrogate":[113],"model.":[114],"This":[115],"approach":[116,143],"provides":[117],"additional":[119],"benefit":[120],"quantifying":[122],"high-dimensional":[123],"uncertainties":[124],"combining":[126],"our":[127,141],"analysis-of-variance":[131],"(ANOVA)":[132],"method.":[133,160],"demonstrate":[135],"in":[136],"several":[137],"numerical":[138],"examples":[139],"proposed":[142],"leads":[144],"accurate":[146],"solutions":[147],"much":[150],"smaller":[151],"number":[152],"simulations":[154],"compared":[155],"Monte":[158],"Carlo":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
