{"id":"https://openalex.org/W3126873247","doi":"https://doi.org/10.1016/j.ymssp.2021.108211","title":"Model calibration via distributionally robust optimization: On the NASA Langley Uncertainty Quantification Challenge","display_name":"Model calibration via distributionally robust optimization: On the NASA Langley Uncertainty Quantification Challenge","publication_year":2021,"publication_date":"2021-07-21","ids":{"openalex":"https://openalex.org/W3126873247","doi":"https://doi.org/10.1016/j.ymssp.2021.108211","mag":"3126873247"},"language":"en","primary_location":{"id":"doi:10.1016/j.ymssp.2021.108211","doi":"https://doi.org/10.1016/j.ymssp.2021.108211","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ymssp.2021.108211","pdf_url":null,"source":{"id":"https://openalex.org/S128368299","display_name":"Mechanical Systems and Signal Processing","issn_l":"0888-3270","issn":["0888-3270","1096-1216"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Mechanical Systems and Signal Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.1016/j.ymssp.2021.108211","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5060680949","display_name":"Yuanlu Bai","orcid":"https://orcid.org/0000-0002-0352-1755","observed_orcids":["https://orcid.org/0000-0002-0352-1755"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanlu Bai","raw_affiliation_strings":["Department of Industrial Engineering & Operations Research, Columbia University, USA"],"raw_orcid":"https://orcid.org/0000-0002-0352-1755","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Operations Research, Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101445344","display_name":"Zhiyuan Huang","orcid":"https://orcid.org/0000-0003-1284-2128","observed_orcids":["https://orcid.org/0000-0003-1284-2128"]},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhiyuan Huang","raw_affiliation_strings":["Department of Management Science & Engineering, Tongji University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-1284-2128","affiliations":[{"raw_affiliation_string":"Department of Management Science & Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071064725","display_name":"Henry Lam","orcid":"https://orcid.org/0000-0002-3193-563X","observed_orcids":["https://orcid.org/0000-0002-3193-563X","https://orcid.org/0000-0001-7928-0364"]},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Henry Lam","raw_affiliation_strings":["Department of Industrial Engineering & Operations Research, Columbia University, USA"],"raw_orcid":"https://orcid.org/0000-0002-3193-563X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Operations Research, Columbia University, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101445344"],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":{"value":4100,"currency":"USD","value_usd":4100},"apc_paid":null,"fwci":0.5553,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.49715874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":"164","issue":null,"first_page":"108211","last_page":"108211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9570000171661377,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.02070000022649765,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.002099999925121665,"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/model-calibration","display_name":"model calibration","score":0.9390000104904175},{"id":"https://openalex.org/keywords/distributionally-robust-optimization","display_name":"distributionally robust optimization","score":0.9929999709129333},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"uncertainty quantification","score":0.8809999823570251},{"id":"https://openalex.org/keywords/aleatoric-uncertainty","display_name":"aleatoric uncertainty","score":0.9369999766349792},{"id":"https://openalex.org/keywords/epistemic-uncertainty","display_name":"epistemic uncertainty","score":1.0},{"id":"https://openalex.org/keywords/importance-sampling","display_name":"importance sampling","score":0.8949999809265137},{"id":"https://openalex.org/keywords/monte-carlo-simulation","display_name":"Monte Carlo simulation","score":0.8019999861717224},{"id":"https://openalex.org/keywords/nonparametric-tests","display_name":"nonparametric tests","score":0.9900000095367432},{"id":"https://openalex.org/keywords/parameter-calibration","display_name":"parameter calibration","score":0.6320000290870667},{"id":"https://openalex.org/keywords/risk-assessment","display_name":"risk assessment","score":0.7250000238418579}],"concepts":[{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.7961962223052979},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.7788152694702148},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6911617517471313},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.6888068318367004},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.589958131313324},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.554621696472168},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5331230759620667},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5098997354507446},{"id":"https://openalex.org/C177803969","wikidata":"https://www.wikidata.org/wiki/Q29205","display_name":"Uncertainty analysis","level":2,"score":0.49800848960876465},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1889185905456543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1849885880947113},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.184822678565979},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.13351765275001526},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13195252418518066},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1116374135017395}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1016/j.ymssp.2021.108211","doi":"https://doi.org/10.1016/j.ymssp.2021.108211","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ymssp.2021.108211","pdf_url":null,"source":{"id":"https://openalex.org/S128368299","display_name":"Mechanical Systems and Signal Processing","issn_l":"0888-3270","issn":["0888-3270","1096-1216"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Mechanical Systems and Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2102.01840","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2102.01840","pdf_url":"https://arxiv.org/pdf/2102.01840","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"doi:10.48550/arxiv.2102.01840","doi":"https://doi.org/10.48550/arxiv.2102.01840","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2102.01840","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1016/j.ymssp.2021.108211","doi":"https://doi.org/10.1016/j.ymssp.2021.108211","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.ymssp.2021.108211","pdf_url":null,"source":{"id":"https://openalex.org/S128368299","display_name":"Mechanical Systems and Signal Processing","issn_l":"0888-3270","issn":["0888-3270","1096-1216"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core","dongbi-b","jufo-3","norway-1","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Mechanical Systems and Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2934818231","display_name":"S&AS:FND:COLLAB:Unsupervised Rare Event Learning - With Applications on Autonomous Vehicles","funder_award_id":"1849280","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/G3836654048","display_name":"CAREER: Optimization-based Quantification of Statistical Uncertainty in Stochastic and Simulation Analysis","funder_award_id":"1834710","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/W3126873247.pdf","grobid_xml":"https://content.openalex.org/works/W3126873247.grobid-xml"},"referenced_works_count":78,"referenced_works":["https://openalex.org/W242065599","https://openalex.org/W600148761","https://openalex.org/W1484551447","https://openalex.org/W1499021337","https://openalex.org/W1504946885","https://openalex.org/W1512208174","https://openalex.org/W1514587017","https://openalex.org/W1542523037","https://openalex.org/W1568434610","https://openalex.org/W1580385316","https://openalex.org/W1602773783","https://openalex.org/W1621653743","https://openalex.org/W1693992350","https://openalex.org/W1712265143","https://openalex.org/W1968355947","https://openalex.org/W1972339550","https://openalex.org/W1973333099","https://openalex.org/W1977691343","https://openalex.org/W1979236986","https://openalex.org/W2006093909","https://openalex.org/W2009756793","https://openalex.org/W2021472931","https://openalex.org/W2023761963","https://openalex.org/W2026170388","https://openalex.org/W2027181221","https://openalex.org/W2027319489","https://openalex.org/W2033487550","https://openalex.org/W2045973738","https://openalex.org/W2052273502","https://openalex.org/W2069739265","https://openalex.org/W2070398157","https://openalex.org/W2078454401","https://openalex.org/W2083027289","https://openalex.org/W2087018957","https://openalex.org/W2101774117","https://openalex.org/W2103851188","https://openalex.org/W2113151258","https://openalex.org/W2119303899","https://openalex.org/W2125417745","https://openalex.org/W2152448093","https://openalex.org/W2153473676","https://openalex.org/W2164768649","https://openalex.org/W2165698076","https://openalex.org/W2290370189","https://openalex.org/W2294947825","https://openalex.org/W2336156739","https://openalex.org/W2340212920","https://openalex.org/W2397168137","https://openalex.org/W2415979740","https://openalex.org/W2465333884","https://openalex.org/W2482605755","https://openalex.org/W2528302069","https://openalex.org/W2531499355","https://openalex.org/W2537619949","https://openalex.org/W2559852639","https://openalex.org/W2605835605","https://openalex.org/W2755232099","https://openalex.org/W2768106699","https://openalex.org/W2921673526","https://openalex.org/W2952662670","https://openalex.org/W2962689365","https://openalex.org/W2963470657","https://openalex.org/W2964745183","https://openalex.org/W2970998096","https://openalex.org/W2972484138","https://openalex.org/W3020882730","https://openalex.org/W3035249419","https://openalex.org/W3042850524","https://openalex.org/W3112318984","https://openalex.org/W3123065937","https://openalex.org/W3134748372","https://openalex.org/W4212774754","https://openalex.org/W4232991410","https://openalex.org/W4244650958","https://openalex.org/W4246425956","https://openalex.org/W4255510377","https://openalex.org/W4292888834","https://openalex.org/W6676921252"],"related_works":["https://openalex.org/W3135701848","https://openalex.org/W3207824278","https://openalex.org/W2060364405","https://openalex.org/W3112318984","https://openalex.org/W3183703521","https://openalex.org/W2168621512","https://openalex.org/W7219433815","https://openalex.org/W1529767900","https://openalex.org/W6922560451","https://openalex.org/W4415042211"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2021-02-15T00:00:00"}
