{"id":"https://openalex.org/W4391972318","doi":"https://doi.org/10.1080/00401706.2024.2319138","title":"Screening the Discrepancy Function of a Computer Model","display_name":"Screening the Discrepancy Function of a Computer Model","publication_year":2024,"publication_date":"2024-02-20","ids":{"openalex":"https://openalex.org/W4391972318","doi":"https://doi.org/10.1080/00401706.2024.2319138"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2024.2319138","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2024.2319138","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05138126/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064058151","display_name":"Pierre Barbillon","orcid":"https://orcid.org/0000-0002-7766-7693"},"institutions":[{"id":"https://openalex.org/I22248866","display_name":"AgroParisTech","ror":"https://ror.org/02kbmgc12","country_code":"FR","type":"education","lineage":["https://openalex.org/I22248866","https://openalex.org/I277688954"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]},{"id":"https://openalex.org/I4210088668","display_name":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement","ror":"https://ror.org/003vg9w96","country_code":"FR","type":"government","lineage":["https://openalex.org/I4210088668"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Pierre Barbillon","raw_affiliation_strings":["Universit\u00e9 Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, Palaiseau, France;"],"raw_orcid":"https://orcid.org/0000-0002-7766-7693","affiliations":[{"raw_affiliation_string":"Universit\u00e9 Paris-Saclay, AgroParisTech, INRAE, UMR MIA Paris-Saclay, Palaiseau, France;","institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026281395","display_name":"Anabel Forte","orcid":"https://orcid.org/0000-0001-9534-1817"},"institutions":[{"id":"https://openalex.org/I16097986","display_name":"Universitat de Val\u00e8ncia","ror":"https://ror.org/043nxc105","country_code":"ES","type":"education","lineage":["https://openalex.org/I16097986"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Anabel Forte","raw_affiliation_strings":["Department of Statistics and Operations Research, Universitat de Valencia, Valencia, Spain;"],"raw_orcid":"https://orcid.org/0000-0001-9534-1817","affiliations":[{"raw_affiliation_string":"Department of Statistics and Operations Research, Universitat de Valencia, Valencia, Spain;","institution_ids":["https://openalex.org/I16097986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053171184","display_name":"Rui Paulo","orcid":"https://orcid.org/0000-0002-4802-527X"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Rui Paulo","raw_affiliation_strings":["CEMAPRE/REM and Department of Mathematics, Lisbon School of Economics and Management, Universidade de Lisboa, Lisboa, Portugal"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CEMAPRE/REM and Department of Mathematics, Lisbon School of Economics and Management, Universidade de Lisboa, Lisboa, Portugal","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5064058151"],"corresponding_institution_ids":["https://openalex.org/I22248866","https://openalex.org/I277688954","https://openalex.org/I4210088668"],"apc_list":null,"apc_paid":null,"fwci":0.2945,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60193554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"66","issue":"3","first_page":"394","last_page":"405"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9993000030517578,"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":0.9993000030517578,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9865000247955322,"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/computer-science","display_name":"Computer science","score":0.732804536819458},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.6003588438034058},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6002206206321716},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5977438688278198},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.5234660506248474},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5015206336975098},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.47630083560943604},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.47507065534591675},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.46477630734443665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4380662441253662},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4339069724082947},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.42690879106521606},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41828519105911255},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19663524627685547}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.732804536819458},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.6003588438034058},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6002206206321716},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5977438688278198},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.5234660506248474},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5015206336975098},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.47630083560943604},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.47507065534591675},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.46477630734443665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4380662441253662},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4339069724082947},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.42690879106521606},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41828519105911255},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19663524627685547},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00401706.2024.2319138","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2024.2319138","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technometrics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05138126v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05138126","pdf_url":"https://hal.science/hal-05138126/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technometrics, 2024, 66 (3), pp.394-405. ⟨10.1080/00401706.2024.2319138⟩","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05138126v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05138126","pdf_url":"https://hal.science/hal-05138126/document","source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technometrics, 2024, 66 (3), pp.394-405. ⟨10.1080/00401706.2024.2319138⟩","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2469010403","display_name":null,"funder_award_id":"MCIN /AEI/10.13039/501100011033","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G336252596","display_name":null,"funder_award_id":"CEMAPRE/REM - UIDB/05069/ 2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3561834706","display_name":null,"funder_award_id":"DMS-1638521","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"},{"id":"https://openalex.org/G3675641814","display_name":"Research in Economics and Mathematics","funder_award_id":"UIDB/05069/2020","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G3681454997","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4042783231","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G425668148","display_name":null,"funder_award_id":".13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4604692985","display_name":"Statistical and Applied Mathematical Sciences Institute","funder_award_id":"1638521","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5026296165","display_name":"AgreenSkills+","funder_award_id":"609398","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5385376234","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320334779","funder_display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia"},{"id":"https://openalex.org/G5813196955","display_name":null,"funder_award_id":"PID2022-138201NB-I00","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5985085362","display_name":null,"funder_award_id":"1638521","funder_id":"https://openalex.org/F4320337380","funder_display_name":"Division of Mathematical Sciences"},{"id":"https://openalex.org/G6086306927","display_name":null,"funder_award_id":"609398","funder_id":"https://openalex.org/F4320329937","funder_display_name":"AgreenSkills"},{"id":"https://openalex.org/G6490759914","display_name":null,"funder_award_id":"PID2022-138201NB-I00","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6852668511","display_name":null,"funder_award_id":"UIDB/05069/2020","funder_id":"https://openalex.org/F4320323642","funder_display_name":"Minist\u00e9rio da Ci\u00eancia, Tecnologia e Ensino Superior"},{"id":"https://openalex.org/G8335574599","display_name":null,"funder_award_id":"PID2019-104790GB-I00","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8739499058","display_name":null,"funder_award_id":"MCIN/AEI/10.13039/501100011033/FEDER","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/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320323642","display_name":"Minist\u00e9rio da Ci\u00eancia, Tecnologia e Ensino Superior","ror":"https://ror.org/045b9pr88"},{"id":"https://openalex.org/F4320329937","display_name":"AgreenSkills","ror":null},{"id":"https://openalex.org/F4320334779","display_name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","ror":"https://ror.org/00snfqn58"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null},{"id":"https://openalex.org/F4320337380","display_name":"Division of Mathematical Sciences","ror":"https://ror.org/051fftw81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4391972318.pdf","grobid_xml":"https://content.openalex.org/works/W4391972318.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W113733777","https://openalex.org/W1565839640","https://openalex.org/W1973333099","https://openalex.org/W1973410308","https://openalex.org/W1974315578","https://openalex.org/W1977715424","https://openalex.org/W1992913659","https://openalex.org/W1999974018","https://openalex.org/W2007069447","https://openalex.org/W2018044188","https://openalex.org/W2025909913","https://openalex.org/W2026170388","https://openalex.org/W2027319489","https://openalex.org/W2051119300","https://openalex.org/W2067761593","https://openalex.org/W2069176726","https://openalex.org/W2078454401","https://openalex.org/W2083027289","https://openalex.org/W2092612581","https://openalex.org/W2120823309","https://openalex.org/W2135348862","https://openalex.org/W2162888823","https://openalex.org/W2166552921","https://openalex.org/W2497151737","https://openalex.org/W2781747353","https://openalex.org/W2798972612","https://openalex.org/W2897704690","https://openalex.org/W2924835211","https://openalex.org/W2963045461","https://openalex.org/W2963446226","https://openalex.org/W2963876824","https://openalex.org/W2972947493","https://openalex.org/W3093413477","https://openalex.org/W3164468944","https://openalex.org/W4250518393","https://openalex.org/W4388320052"],"related_works":["https://openalex.org/W3087071515","https://openalex.org/W71678127","https://openalex.org/W2157655363","https://openalex.org/W4205763938","https://openalex.org/W2292189132","https://openalex.org/W2188234385","https://openalex.org/W4288092343","https://openalex.org/W2134332527","https://openalex.org/W4386114318","https://openalex.org/W4283077537"],"abstract_inverted_index":{"Traditionally,":[0],"screening":[1],"refers":[2],"to":[3,20,46,93,140,165,176],"the":[4,12,23,33,40,53,69,73,81,95,107,115,135,142,147,163,171,180,191],"problem":[5,65],"of":[6,145,170],"detecting":[7,28],"influential":[8],"(active)":[9],"inputs":[10,30,74],"in":[11,32,80,125,151],"computer":[13,34,54],"model.":[14],"We":[15,59],"develop":[16],"methodology":[17,100,153,192],"that":[18,43,75,154,187],"applies":[19],"screening,":[21],"but":[22,37,83],"main":[24],"focus":[25],"is":[26,44,62,101,104,155],"on":[27,39,117,162],"active":[29,184],"not":[31],"model":[35,49,55,96,137],"itself":[36],"rather":[38],"discrepancy":[41],"function":[42],"introduced":[45],"account":[47],"for":[48,97,182],"inadequacy":[50],"when":[51],"linking":[52],"with":[56,127],"field":[57],"observations.":[58],"contend":[60],"this":[61],"an":[63],"important":[64],"as":[66,179],"it":[67,88],"informs":[68],"modeler":[70],"which":[71,86,173],"are":[72,76,174],"potentially":[77],"being":[78],"mishandled":[79],"model,":[82],"also":[84],"along":[85],"directions":[87],"may":[89],"be":[90],"less":[91],"recommendable":[92],"use":[94],"prediction.":[98],"The":[99,159],"Bayesian":[102,118],"and":[103,110,124],"inspired":[105],"by":[106,114],"continuous":[108],"spike":[109],"slab":[111],"prior":[112],"popularized":[113],"literature":[116],"variable":[119],"selection.":[120],"In":[121],"our":[122],"approach,":[123],"contrast":[126],"previous":[128],"proposals,":[129],"a":[130,152],"single":[131],"MCMC":[132],"sample":[133],"from":[134],"full":[136],"allows":[138],"us":[139],"compute":[141],"posterior":[143,167,195],"probabilities":[144,169],"all":[146],"competing":[148],"models,":[149],"resulting":[150],"computationally":[156],"very":[157],"fast.":[158],"approach":[160],"hinges":[161],"ability":[164],"obtain":[166],"inclusion":[168,196],"inputs,":[172],"easy":[175],"interpret":[177],"quantities,":[178],"basis":[181],"selecting":[183],"inputs.":[185],"For":[186],"reason,":[188],"we":[189],"name":[190],"PIPS":[193],"\u2014":[194],"probability":[197],"screening.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}