{"id":"https://openalex.org/W3049338084","doi":"https://doi.org/10.1080/03610918.2020.1804936","title":"Modified adaptive group lasso for high-dimensional varying coefficient models","display_name":"Modified adaptive group lasso for high-dimensional varying coefficient models","publication_year":2020,"publication_date":"2020-08-14","ids":{"openalex":"https://openalex.org/W3049338084","doi":"https://doi.org/10.1080/03610918.2020.1804936","mag":"3049338084"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1804936","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1804936","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/A5036732709","display_name":"Mingqiu Wang","orcid":"https://orcid.org/0000-0001-7164-0054"},"institutions":[{"id":"https://openalex.org/I202126657","display_name":"Qufu Normal University","ror":"https://ror.org/03ceheh96","country_code":"CN","type":"education","lineage":["https://openalex.org/I202126657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingqiu Wang","raw_affiliation_strings":["School of Statistics, Qufu Normal University, Qufu, Shandong, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Qufu Normal University, Qufu, Shandong, P. R. China","institution_ids":["https://openalex.org/I202126657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003650269","display_name":"Xiaoning Kang","orcid":"https://orcid.org/0000-0003-0394-6240"},"institutions":[{"id":"https://openalex.org/I130480701","display_name":"Dongbei University of Finance and Economics","ror":"https://ror.org/05db1pj03","country_code":"CN","type":"education","lineage":["https://openalex.org/I130480701"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Kang","raw_affiliation_strings":["International Business College and Institute of Supply Chain Analytics, Dongbei University of Finance and Economics, Dalian, Liaoning, P.\u2009R. China"],"raw_orcid":"https://orcid.org/0000-0003-0394-6240","affiliations":[{"raw_affiliation_string":"International Business College and Institute of Supply Chain Analytics, Dongbei University of Finance and Economics, Dalian, Liaoning, P.\u2009R. China","institution_ids":["https://openalex.org/I130480701"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084143431","display_name":"Guo\u2010Liang Tian","orcid":"https://orcid.org/0000-0003-3749-6188"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo-Liang Tian","raw_affiliation_strings":["Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong, P. R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, Guangdong, P. R. China","institution_ids":["https://openalex.org/I3045169105"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084143431"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":null,"apc_paid":null,"fwci":0.2206,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57627469,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"51","issue":"11","first_page":"6495","last_page":"6510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994999766349792,"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":0.9994999766349792,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9596999883651733,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.668190062046051},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6659046411514282},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6121038198471069},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5681439638137817},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5639716386795044},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5059205889701843},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49976253509521484},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.4581562280654907},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4499998688697815},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.44559478759765625},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.4283737540245056},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4216499626636505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38342779874801636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2410152554512024},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.1488398015499115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06516042351722717}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.668190062046051},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6659046411514282},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6121038198471069},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5681439638137817},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5639716386795044},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5059205889701843},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49976253509521484},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.4581562280654907},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4499998688697815},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.44559478759765625},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.4283737540245056},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4216499626636505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38342779874801636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2410152554512024},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.1488398015499115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06516042351722717},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1804936","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1804936","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":[{"id":"https://openalex.org/G8022679075","display_name":null,"funder_award_id":"MA002","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1965125844","https://openalex.org/W1969752902","https://openalex.org/W1974902409","https://openalex.org/W2010353172","https://openalex.org/W2013634251","https://openalex.org/W2020082788","https://openalex.org/W2020925091","https://openalex.org/W2029469881","https://openalex.org/W2040296279","https://openalex.org/W2045761078","https://openalex.org/W2054889508","https://openalex.org/W2056018984","https://openalex.org/W2062199701","https://openalex.org/W2064908049","https://openalex.org/W2065826548","https://openalex.org/W2069541127","https://openalex.org/W2074682976","https://openalex.org/W2082562176","https://openalex.org/W2089705522","https://openalex.org/W2093049247","https://openalex.org/W2112434835","https://openalex.org/W2120875981","https://openalex.org/W2124315825","https://openalex.org/W2124831990","https://openalex.org/W2128489928","https://openalex.org/W2138049103","https://openalex.org/W2154956682","https://openalex.org/W2171962359","https://openalex.org/W2186100394","https://openalex.org/W2202644012","https://openalex.org/W2271861971","https://openalex.org/W2491813628","https://openalex.org/W2507790937","https://openalex.org/W2527625024","https://openalex.org/W2603275158","https://openalex.org/W2804394205","https://openalex.org/W3098306969","https://openalex.org/W3099185210","https://openalex.org/W3104138184","https://openalex.org/W3105034597","https://openalex.org/W3124067556","https://openalex.org/W3124158594","https://openalex.org/W4255889554"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2994787386","https://openalex.org/W2002304499","https://openalex.org/W128985311"],"abstract_inverted_index":{"This":[0],"article":[1],"focuses":[2],"on":[3],"variable":[4],"selection":[5,37,92],"for":[6],"varying":[7],"coefficient":[8],"models":[9],"in":[10,95],"the":[11,14,21,30,48,57,75],"case":[12],"of":[13,16,56,77,106],"number":[15],"covariates":[17],"being":[18],"larger":[19],"than":[20,74],"sample":[22],"size.":[23],"Combining":[24],"B-spline":[25],"basis":[26],"function":[27],"approximations":[28],"with":[29],"modified":[31],"adaptive":[32,58],"group":[33,59],"lasso,":[34],"we":[35],"establish":[36],"consistency,":[38],"convergence":[39],"rate":[40],"and":[41,63,80,87,93],"asymptotic":[42],"normality.":[43],"Our":[44],"contribution":[45],"is":[46],"that":[47,69],"marginal":[49],"nonparametric":[50],"estimates":[51],"are":[52],"used":[53],"as":[54],"weights":[55],"lasso.":[60],"Simulation":[61],"studies":[62],"two":[64],"real":[65],"data":[66],"applications":[67],"show":[68],"our":[70],"method":[71,76],"performs":[72],"better":[73],"Wei,":[78,83],"Huang,":[79,86],"Li":[81],"(2011":[82],"F.,":[84],"J.":[85],"H.":[88],"Li.":[89],"2011.":[90],"Variable":[91],"estimation":[94],"high-dimensional":[96],"varying-coefficient":[97],"models.":[98],"Statistica":[99],"Sinica":[100],"21":[101],"(4):1515\u201340.":[102],"doi:10.5705/ss.2009.316.[Crossref],":[103],"[PubMed],":[104],"[Web":[105],"Science":[107],"\u00ae]":[108],",":[109],"[Google":[110],"Scholar]).":[111]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
