{"id":"https://openalex.org/W2485841211","doi":"https://doi.org/10.1080/03610918.2015.1039133","title":"Composite kernel quantile regression","display_name":"Composite kernel quantile regression","publication_year":2015,"publication_date":"2015-11-23","ids":{"openalex":"https://openalex.org/W2485841211","doi":"https://doi.org/10.1080/03610918.2015.1039133","mag":"2485841211"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1039133","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1039133","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5067342872","display_name":"Sungwan Bang","orcid":"https://orcid.org/0000-0001-5696-7833"},"institutions":[{"id":"https://openalex.org/I184908088","display_name":"Korea Military Academy","ror":"https://ror.org/024ctqw02","country_code":"KR","type":"education","lineage":["https://openalex.org/I184908088"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungwan Bang","raw_affiliation_strings":["Department of Mathematics, Korea Military Academy, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Korea Military Academy, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I184908088"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054346462","display_name":"Soo\u2010Heang Eo","orcid":"https://orcid.org/0000-0002-1840-018X"},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Heang Eo","raw_affiliation_strings":["Department of Statistics, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056545688","display_name":"Myoungshic Jhun","orcid":null},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Myoungshic Jhun","raw_affiliation_strings":["Department of Statistics, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030498031","display_name":"HyungJun Cho","orcid":"https://orcid.org/0000-0003-0844-9948"},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyung Jun Cho","raw_affiliation_strings":["Department of Statistics, Korea University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Korea University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5030498031"],"corresponding_institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.16669465,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"46","issue":"3","first_page":"2228","last_page":"2240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9973999857902527,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9973999857902527,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9901000261306763,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9890000224113464,"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/quantile-regression","display_name":"Quantile regression","score":0.8589128255844116},{"id":"https://openalex.org/keywords/kernel-regression","display_name":"Kernel regression","score":0.6754608750343323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6389113664627075},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6300042867660522},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5332348942756653},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49446558952331543},{"id":"https://openalex.org/keywords/conditional-expectation","display_name":"Conditional expectation","score":0.49004924297332764},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.44348886609077454},{"id":"https://openalex.org/keywords/nonlinear-regression","display_name":"Nonlinear regression","score":0.43500828742980957},{"id":"https://openalex.org/keywords/principal-component-regression","display_name":"Principal component regression","score":0.4347057342529297},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.42685556411743164},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4125669002532959},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.40701228380203247},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3807029724121094},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.054638057947158813}],"concepts":[{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.8589128255844116},{"id":"https://openalex.org/C200695384","wikidata":"https://www.wikidata.org/wiki/Q1739319","display_name":"Kernel regression","level":3,"score":0.6754608750343323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6389113664627075},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6300042867660522},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5332348942756653},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49446558952331543},{"id":"https://openalex.org/C186215838","wikidata":"https://www.wikidata.org/wiki/Q772232","display_name":"Conditional expectation","level":2,"score":0.49004924297332764},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.44348886609077454},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.43500828742980957},{"id":"https://openalex.org/C74887250","wikidata":"https://www.wikidata.org/wiki/Q3455892","display_name":"Principal component regression","level":3,"score":0.4347057342529297},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.42685556411743164},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4125669002532959},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.40701228380203247},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3807029724121094},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.054638057947158813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1039133","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1039133","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1563088657","https://openalex.org/W1755117326","https://openalex.org/W1971895612","https://openalex.org/W1996742192","https://openalex.org/W2002606226","https://openalex.org/W2023291701","https://openalex.org/W2035673851","https://openalex.org/W2037517398","https://openalex.org/W2047028564","https://openalex.org/W2092622249","https://openalex.org/W2119608836","https://openalex.org/W2128624462","https://openalex.org/W2798766386","https://openalex.org/W3104953029"],"related_works":["https://openalex.org/W3188352077","https://openalex.org/W2117239476","https://openalex.org/W1497432777","https://openalex.org/W1523442101","https://openalex.org/W4210660526","https://openalex.org/W3004358354","https://openalex.org/W2075102917","https://openalex.org/W2139269942","https://openalex.org/W2041565170","https://openalex.org/W2382911382"],"abstract_inverted_index":{"The":[0,66],"composite":[1,36],"quantile":[2,38,83],"regression":[3,15,20,33,39,64],"(CQR)":[4],"has":[5],"been":[6],"developed":[7],"for":[8,57],"the":[9,24,27,43,58,70,73],"robust":[10,59],"and":[11,82],"efficient":[12],"estimation":[13,60],"of":[14,26,45,61,72],"coefficients":[16],"in":[17,52,76],"a":[18,31,50,62],"liner":[19],"model.":[21],"By":[22],"employing":[23],"idea":[25],"CQR,":[28],"we":[29],"propose":[30],"new":[32],"method,":[34],"called":[35],"kernel":[37,54],"(CKQR),":[40],"which":[41],"uses":[42],"sum":[44],"multiple":[46],"check":[47],"functions":[48],"as":[49],"loss":[51],"reproducing":[53],"Hilbert":[55],"spaces":[56],"nonlinear":[63,80],"function.":[65],"numerical":[67],"results":[68],"demonstrate":[69],"usefulness":[71],"proposed":[74],"CKQR":[75],"estimating":[77],"both":[78],"conditional":[79],"mean":[81],"functions.":[84]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
