{"id":"https://openalex.org/W3045631170","doi":"https://doi.org/10.1109/access.2020.3012871","title":"An Improved Interior Point Algorithm for Quantile Regression","display_name":"An Improved Interior Point Algorithm for Quantile Regression","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3045631170","doi":"https://doi.org/10.1109/access.2020.3012871","mag":"3045631170"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3012871","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012871","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152027.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/ielx7/6287639/8948470/09152027.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031199777","display_name":"Pan Zhao","orcid":"https://orcid.org/0000-0002-0292-9804"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pan Zhao","raw_affiliation_strings":["School of Economics and Trade, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0292-9804","affiliations":[{"raw_affiliation_string":"School of Economics and Trade, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102766732","display_name":"Shenghua Yu","orcid":"https://orcid.org/0000-0003-4859-3231"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghua Yu","raw_affiliation_strings":["School of Economics and Trade, Hunan University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Economics and Trade, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":{"value":1750,"currency":"USD","value_usd":1750},"apc_paid":{"value":1750,"currency":"USD","value_usd":1750},"fwci":0.0,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.12659651,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"139647","last_page":"139657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9962999820709229,"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"}},"topics":[{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9962999820709229,"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"}},{"id":"https://openalex.org/T10963","display_name":"Advanced Optimization Algorithms Research","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2612","display_name":"Numerical Analysis"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.894801139831543},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.8668564558029175},{"id":"https://openalex.org/keywords/centrality","display_name":"Centrality","score":0.740104079246521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046025514602661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49093154072761536},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4855005741119385},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.455533504486084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4335087835788727},{"id":"https://openalex.org/keywords/interior-point-method","display_name":"Interior point method","score":0.431805282831192},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4260137677192688},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4094114899635315},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3470342755317688}],"concepts":[{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.894801139831543},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8668564558029175},{"id":"https://openalex.org/C53811970","wikidata":"https://www.wikidata.org/wiki/Q5062194","display_name":"Centrality","level":2,"score":0.740104079246521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046025514602661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49093154072761536},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4855005741119385},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.455533504486084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4335087835788727},{"id":"https://openalex.org/C155253501","wikidata":"https://www.wikidata.org/wiki/Q461992","display_name":"Interior point method","level":2,"score":0.431805282831192},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4260137677192688},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4094114899635315},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3470342755317688},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3012871","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012871","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152027.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:46cadab21a144c1298809dc2aa749217","is_oa":true,"landing_page_url":"https://doaj.org/article/46cadab21a144c1298809dc2aa749217","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 8, Pp 139647-139657 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3012871","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3012871","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09152027.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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/G4291762638","display_name":null,"funder_award_id":"2018JJ2071","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":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3045631170.pdf","grobid_xml":"https://content.openalex.org/works/W3045631170.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W253773365","https://openalex.org/W273098307","https://openalex.org/W1533868172","https://openalex.org/W1691300750","https://openalex.org/W1972452327","https://openalex.org/W1976425051","https://openalex.org/W1985564371","https://openalex.org/W2013945499","https://openalex.org/W2018738522","https://openalex.org/W2025574637","https://openalex.org/W2032043463","https://openalex.org/W2042440488","https://openalex.org/W2044632916","https://openalex.org/W2068531154","https://openalex.org/W2076680677","https://openalex.org/W2077505780","https://openalex.org/W2085548605","https://openalex.org/W2086867325","https://openalex.org/W2089389443","https://openalex.org/W2099219310","https://openalex.org/W2102482069","https://openalex.org/W2104414266","https://openalex.org/W2113292332","https://openalex.org/W2152358062","https://openalex.org/W2466564333","https://openalex.org/W2514382054","https://openalex.org/W2809128983","https://openalex.org/W2944772020","https://openalex.org/W2946079524","https://openalex.org/W2946130033","https://openalex.org/W2997103584","https://openalex.org/W3002231177","https://openalex.org/W3021622675","https://openalex.org/W4239366869","https://openalex.org/W4300450507","https://openalex.org/W6609630577","https://openalex.org/W6658506912"],"related_works":["https://openalex.org/W4206511378","https://openalex.org/W4206618949","https://openalex.org/W2526321210","https://openalex.org/W3205863630","https://openalex.org/W4318833145","https://openalex.org/W2364275385","https://openalex.org/W4388704167","https://openalex.org/W2007977664","https://openalex.org/W4376874882","https://openalex.org/W2224749288"],"abstract_inverted_index":{"Quantile":[0],"regression":[1,38,77],"is":[2,39,65],"a":[3,12,75],"powerful":[4],"statistical":[5],"technique":[6,47,64,96],"for":[7,36,53],"estimating":[8],"the":[9,16,49,60,68,86,90,99],"quantiles":[10],"of":[11,18,58,85,92],"conditional":[13],"distribution":[14],"on":[15],"values":[17],"covariates.":[19],"It":[20],"has":[21],"been":[22],"widely":[23],"used":[24],"in":[25],"many":[26],"fields.":[27],"In":[28],"this":[29],"paper,":[30],"an":[31],"improved":[32],"interior":[33,50,100],"point":[34,51,101],"algorithm":[35,42,52],"quantile":[37,54,76],"proposed.":[40],"The":[41,56,79],"introduces":[43],"multiple":[44,61,93],"centrality":[45,62,94],"corrections":[46,63],"into":[48],"regression.":[55],"purpose":[57],"introducing":[59],"to":[66,73],"reduce":[67],"overall":[69],"solution":[70],"time":[71],"required":[72],"solve":[74],"problem.":[78],"computational":[80],"experiments":[81],"results":[82],"constitute":[83],"evidence":[84],"improvement":[87],"obtained":[88],"with":[89,98],"use":[91],"correction":[95],"combined":[97],"algorithm.":[102]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}