{"id":"https://openalex.org/W4280567769","doi":"https://doi.org/10.1080/10618600.2022.2076687","title":"Adaptive Handling of Dependence in High-Dimensional Regression Modeling","display_name":"Adaptive Handling of Dependence in High-Dimensional Regression Modeling","publication_year":2022,"publication_date":"2022-05-12","ids":{"openalex":"https://openalex.org/W4280567769","doi":"https://doi.org/10.1080/10618600.2022.2076687"},"language":"en","primary_location":{"id":"doi:10.1080/10618600.2022.2076687","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2022.2076687","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"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":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/Adaptive_Handling_of_Dependence_in_High-Dimensional_Regression_Modeling/19758837","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077099912","display_name":"Florian H\u00e9bert","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2800285241","display_name":"Institut Agro Rennes-Angers","ror":"https://ror.org/01s3fs709","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800285241","https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I4210161663","display_name":"Institut de recherche math\u00e9matique de Rennes","ror":"https://ror.org/05y76vp22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2800285241","https://openalex.org/I28221208","https://openalex.org/I3124938446","https://openalex.org/I4210117091","https://openalex.org/I4210141950","https://openalex.org/I4210146044","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4399657933","display_name":"L'Institut Agro","ror":"https://ror.org/01dkyve95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Florian H\u00e9bert","raw_affiliation_strings":["Institut Agro, Univ. Rennes, CNRS, IRMAR, Rennes, France","Institut Agro Rennes Angers (65 rue de Saint Brieuc CS 84215 35042 Rennes CEDEX - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Agro, Univ. Rennes, CNRS, IRMAR, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802"]},{"raw_affiliation_string":"Institut Agro Rennes Angers (65 rue de Saint Brieuc CS 84215 35042 Rennes CEDEX - France)","institution_ids":["https://openalex.org/I2800285241"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043223217","display_name":"David Causeur","orcid":"https://orcid.org/0000-0001-6910-9440"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210161663","display_name":"Institut de recherche math\u00e9matique de Rennes","ror":"https://ror.org/05y76vp22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2800285241","https://openalex.org/I28221208","https://openalex.org/I3124938446","https://openalex.org/I4210117091","https://openalex.org/I4210141950","https://openalex.org/I4210146044","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4399657933","display_name":"L'Institut Agro","ror":"https://ror.org/01dkyve95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"David Causeur","raw_affiliation_strings":["Institut Agro, Univ. Rennes, CNRS, IRMAR, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Agro, Univ. Rennes, CNRS, IRMAR, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072252702","display_name":"Mathieu Emily","orcid":"https://orcid.org/0000-0001-9101-6689"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210161663","display_name":"Institut de recherche math\u00e9matique de Rennes","ror":"https://ror.org/05y76vp22","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I2800285241","https://openalex.org/I28221208","https://openalex.org/I3124938446","https://openalex.org/I4210117091","https://openalex.org/I4210141950","https://openalex.org/I4210146044","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I4399657933","display_name":"L'Institut Agro","ror":"https://ror.org/01dkyve95","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210117091","https://openalex.org/I4399657933"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mathieu Emily","raw_affiliation_strings":["Institut Agro, Univ. Rennes, CNRS, IRMAR, Rennes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institut Agro, Univ. Rennes, CNRS, IRMAR, Rennes, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5043223217"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210161663","https://openalex.org/I4399657933","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05136903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"1","first_page":"213","last_page":"225"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9900000095367432,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9900000095367432,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9807999730110168,"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/T13283","display_name":"Mental Health Research Topics","score":0.9772999882698059,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5572413802146912},{"id":"https://openalex.org/keywords/ordinary-least-squares","display_name":"Ordinary least squares","score":0.5381951928138733},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5302098989486694},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5182623863220215},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.5084561109542847},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.48865774273872375},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4501877725124359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4309135675430298},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.410061240196228},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34103405475616455}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5572413802146912},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.5381951928138733},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5302098989486694},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5182623863220215},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.5084561109542847},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.48865774273872375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4501877725124359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4309135675430298},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.410061240196228},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34103405475616455},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/10618600.2022.2076687","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10618600.2022.2076687","pdf_url":null,"source":{"id":"https://openalex.org/S76159266","display_name":"Journal of Computational and Graphical Statistics","issn_l":"1061-8600","issn":["1061-8600","1537-2715"],"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":"Journal of Computational and Graphical Statistics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04047707v1","is_oa":false,"landing_page_url":"https://hal.science/hal-04047707","pdf_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Computational and Graphical Statistics, 2023, 32 (1), pp.213-225. ⟨10.1080/10618600.2022.2076687⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:figshare.com:article/19758837","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Adaptive_Handling_of_Dependence_in_High-Dimensional_Regression_Modeling/19758837","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.19758837.v1","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.19758837.v1","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/19758837","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Adaptive_Handling_of_Dependence_in_High-Dimensional_Regression_Modeling/19758837","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3597637701","display_name":"Centre de Math\u00e9matiques Henri Lebesgue : fondements, interactions, applications et Formation","funder_award_id":"ANR-11-LABX-0020","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W3644042","https://openalex.org/W1966701961","https://openalex.org/W1979369962","https://openalex.org/W1979539465","https://openalex.org/W1987107036","https://openalex.org/W1990512452","https://openalex.org/W1995201905","https://openalex.org/W1999391843","https://openalex.org/W2015961513","https://openalex.org/W2036363967","https://openalex.org/W2037062671","https://openalex.org/W2043108205","https://openalex.org/W2051643605","https://openalex.org/W2060432294","https://openalex.org/W2098722265","https://openalex.org/W2118250684","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2154290668","https://openalex.org/W2160333357","https://openalex.org/W2166446427","https://openalex.org/W2531206901","https://openalex.org/W2787894218","https://openalex.org/W3101467075","https://openalex.org/W4205932475","https://openalex.org/W4234698323","https://openalex.org/W4294541781","https://openalex.org/W4302327172","https://openalex.org/W6600503824","https://openalex.org/W6821474141"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2429686810","https://openalex.org/W2371059786","https://openalex.org/W2069932138","https://openalex.org/W2023475031","https://openalex.org/W2075634219","https://openalex.org/W2527896606","https://openalex.org/W583826391","https://openalex.org/W1897191184","https://openalex.org/W1995617853"],"abstract_inverted_index":{"Dependence":[0],"within":[1,169],"a":[2,48,59,89,119],"high-dimensional":[3],"profile":[4],"of":[5,13,31,51,58,92,114,131,141,150,161,178],"explanatory":[6,94,145],"variables":[7,146],"affects":[8],"estimation":[9],"and":[10,72,103,147,187],"prediction":[11,52,66,78,107,163,167,193],"performance":[12,168],"regression":[14,33],"models.":[15],"However,":[16],"the":[17,64,73,82,93,97,128,136,139,148,151,157,162,170],"strong":[18],"belief":[19],"that":[20,109,191],"dependence":[21,71,87,132,143],"should":[22,133],"not":[23,36],"be":[24],"ignored,":[25],"based":[26],"on":[27,81,135],"our":[28],"well-proven":[29],"knowledge":[30],"low-dimensional":[32],"modeling,":[34],"is":[35,124,182],"necessarily":[37],"true":[38],"in":[39,198],"high":[40],"dimension.":[41],"To":[42],"investigate":[43],"this":[44,192,204],"point,":[45],"we":[46],"introduce":[47],"new":[49],"class":[50,99],"scores":[53],"defined":[54],"as":[55],"linear":[56],"combinations":[57],"same":[60],"random":[61],"vector,":[62],"including":[63],"naive":[65],"score":[67,79,164,194],"obtained":[68],"when":[69],"ignoring":[70],"Ordinary":[74],"Least":[75,105],"Squares":[76,106],"(OLS)":[77],"that,":[80],"contrary,":[83],"fully":[84],"accounts":[85],"for":[86,203],"by":[88],"preliminary":[90],"whitening":[91],"variables.":[95],"Interestingly,":[96],"former":[98],"also":[100,155],"contains":[101],"Ridge":[102],"Partial":[104],"scores,":[108],"both":[110],"offer":[111],"intermediate":[112],"ways":[113],"dealing":[115],"with":[116,165],"dependence.":[117,179],"Through":[118],"theoretical":[120],"comparative":[121],"study,":[122],"it":[123,181],"first":[125],"shown":[126],"how":[127],"best":[129,166],"handling":[130,177],"depend":[134],"interplay":[137],"between":[138],"structure":[140],"conditional":[142],"across":[144],"pattern":[149],"association":[152],"signal.":[153],"We":[154],"derive":[156],"closed":[158],"form":[159],"expression":[160],"proposed":[171],"class,":[172],"leading":[173],"to":[174],"an":[175],"adaptive":[176],"Finally,":[180],"demonstrated":[183],"through":[184],"simulation":[185],"studies":[186],"using":[188],"benchmark":[189],"datasets":[190],"outperforms":[195],"existing":[196],"methods":[197],"various":[199],"settings.":[200],"Supplementary":[201],"materials":[202],"article":[205],"are":[206],"available":[207],"online.":[208]},"counts_by_year":[],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}