{"id":"https://openalex.org/W3005433616","doi":"https://doi.org/10.1007/s00180-020-00963-7","title":"Ultra-high dimensional variable screening via Gram\u2013Schmidt orthogonalization","display_name":"Ultra-high dimensional variable screening via Gram\u2013Schmidt orthogonalization","publication_year":2020,"publication_date":"2020-02-07","ids":{"openalex":"https://openalex.org/W3005433616","doi":"https://doi.org/10.1007/s00180-020-00963-7","mag":"3005433616"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-020-00963-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-020-00963-7","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057451811","display_name":"Huiwen Wang","orcid":"https://orcid.org/0000-0002-1038-4349"},"institutions":[{"id":"https://openalex.org/I4210165198","display_name":"Beijing Advanced Sciences and Innovation Center","ror":"https://ror.org/05qm21180","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165198"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huiwen Wang","raw_affiliation_strings":["Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China","School of Economics and Management, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China","institution_ids":["https://openalex.org/I4210165198"]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115603277","display_name":"Ruiping Liu","orcid":"https://orcid.org/0000-0002-8326-0718"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiping Liu","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100406258","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0002-7205-3844"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Beijing Key Laboratory of Emergence Support Simulation Technologies for City Operations, Beijing, China","School of Economics and Management, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7205-3844","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Emergence Support Simulation Technologies for City Operations, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398359","display_name":"Zhichao Wang","orcid":"https://orcid.org/0000-0001-8712-5612"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhichao Wang","raw_affiliation_strings":["School of Economics and Management, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Management, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019375557","display_name":"Gilbert Saporta","orcid":"https://orcid.org/0000-0002-3406-5887"},"institutions":[{"id":"https://openalex.org/I124158823","display_name":"Conservatoire National des Arts et M\u00e9tiers","ror":"https://ror.org/0175hh227","country_code":"FR","type":"education","lineage":["https://openalex.org/I124158823","https://openalex.org/I4210134562"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Gilbert Saporta","raw_affiliation_strings":["Cedric, Conservatoire National des Arts et M\u00e9tiers, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cedric, Conservatoire National des Arts et M\u00e9tiers, Paris, France","institution_ids":["https://openalex.org/I124158823"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5057451811"],"corresponding_institution_ids":["https://openalex.org/I4210165198","https://openalex.org/I82880672"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.3759,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.51419994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"3","first_page":"1153","last_page":"1170"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9983999729156494,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.996399998664856,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/orthogonalization","display_name":"Orthogonalization","score":0.8674439191818237},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.8454480171203613},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.7351437211036682},{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.638477623462677},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6150020360946655},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.5788880586624146},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49808692932128906},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4636157155036926},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.45272496342658997},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41504448652267456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4006735682487488},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39089763164520264},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.354192852973938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3030710816383362},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.2974414825439453},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21559742093086243}],"concepts":[{"id":"https://openalex.org/C47559304","wikidata":"https://www.wikidata.org/wiki/Q1702189","display_name":"Orthogonalization","level":2,"score":0.8674439191818237},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8454480171203613},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.7351437211036682},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.638477623462677},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6150020360946655},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.5788880586624146},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49808692932128906},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4636157155036926},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.45272496342658997},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41504448652267456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4006735682487488},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39089763164520264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.354192852973938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3030710816383362},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.2974414825439453},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21559742093086243},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00180-020-00963-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-020-00963-7","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02557084v1","is_oa":false,"landing_page_url":"https://cnam.hal.science/hal-02557084","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":"Computational Statistics, 2020, 35, pp.1153-1170. &#x27E8;10.1007/s00180-020-00963-7&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:spr:compst:v:35:y:2020:i:3:d:10.1007_s00180-020-00963-7","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-020-00963-7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5284813800","display_name":null,"funder_award_id":"71420107025","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7299032961","display_name":null,"funder_award_id":"11701023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W404240460","https://openalex.org/W1849963216","https://openalex.org/W1859757340","https://openalex.org/W2012309718","https://openalex.org/W2016119924","https://openalex.org/W2034260606","https://openalex.org/W2050031210","https://openalex.org/W2052087587","https://openalex.org/W2053061982","https://openalex.org/W2060170493","https://openalex.org/W2074682976","https://openalex.org/W2085457026","https://openalex.org/W2085686600","https://openalex.org/W2088051354","https://openalex.org/W2098722265","https://openalex.org/W2102380305","https://openalex.org/W2118047185","https://openalex.org/W2120875981","https://openalex.org/W2122825543","https://openalex.org/W2124587329","https://openalex.org/W2131987814","https://openalex.org/W2134229366","https://openalex.org/W2135046866","https://openalex.org/W2154560360","https://openalex.org/W2155399784","https://openalex.org/W2162942021","https://openalex.org/W2164092415","https://openalex.org/W2330541013","https://openalex.org/W2582152269","https://openalex.org/W2702533159","https://openalex.org/W3098713891","https://openalex.org/W3105340263","https://openalex.org/W3105389178","https://openalex.org/W3122008423"],"related_works":["https://openalex.org/W1965163197","https://openalex.org/W2005349189","https://openalex.org/W2526976988","https://openalex.org/W3122962126","https://openalex.org/W2386892378","https://openalex.org/W4313256016","https://openalex.org/W4386077296","https://openalex.org/W4379878292","https://openalex.org/W2945659163","https://openalex.org/W2747166117"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
