{"id":"https://openalex.org/W2537773642","doi":"https://doi.org/10.1080/03610918.2015.1069346","title":"Robust modal estimation and variable selection for single-index varying-coefficient models","display_name":"Robust modal estimation and variable selection for single-index varying-coefficient models","publication_year":2015,"publication_date":"2015-09-17","ids":{"openalex":"https://openalex.org/W2537773642","doi":"https://doi.org/10.1080/03610918.2015.1069346","mag":"2537773642"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1069346","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1069346","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/A5020307887","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0003-2630-6596"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jing Yang","raw_affiliation_strings":["College of Mathematics and Statistics, Chongqing University, Chongqing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Chongqing University, Chongqing, PR China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100338243","display_name":"Hu Yang","orcid":"https://orcid.org/0000-0001-6589-8534"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Yang","raw_affiliation_strings":["College of Mathematics and Statistics, Chongqing University, Chongqing, PR China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Chongqing University, Chongqing, PR China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020307887"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.24052569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"46","issue":"4","first_page":"2976","last_page":"2997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9843999743461609,"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/estimator","display_name":"Estimator","score":0.7342045903205872},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6910939812660217},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.5793987512588501},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5460420250892639},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5341987013816833},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4970400631427765},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.46710196137428284},{"id":"https://openalex.org/keywords/scad","display_name":"Scad","score":0.4575906991958618},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.443865031003952},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3940228819847107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38329747319221497},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36539387702941895},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33805131912231445}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7342045903205872},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6910939812660217},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.5793987512588501},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5460420250892639},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5341987013816833},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4970400631427765},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.46710196137428284},{"id":"https://openalex.org/C2776857174","wikidata":"https://www.wikidata.org/wiki/Q7429613","display_name":"Scad","level":3,"score":0.4575906991958618},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.443865031003952},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3940228819847107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38329747319221497},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36539387702941895},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33805131912231445},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C500558357","wikidata":"https://www.wikidata.org/wiki/Q12152","display_name":"Myocardial infarction","level":2,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1069346","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1069346","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":22,"referenced_works":["https://openalex.org/W1560144238","https://openalex.org/W1967289386","https://openalex.org/W1972731147","https://openalex.org/W1977285304","https://openalex.org/W1986238806","https://openalex.org/W1997678483","https://openalex.org/W2020925091","https://openalex.org/W2024828559","https://openalex.org/W2025758794","https://openalex.org/W2029125203","https://openalex.org/W2035548029","https://openalex.org/W2043572441","https://openalex.org/W2045368958","https://openalex.org/W2074682976","https://openalex.org/W2079775628","https://openalex.org/W2086067392","https://openalex.org/W2088870374","https://openalex.org/W2090998835","https://openalex.org/W2091615269","https://openalex.org/W2091982351","https://openalex.org/W2135046866","https://openalex.org/W2161457086"],"related_works":["https://openalex.org/W1996583386","https://openalex.org/W2987968047","https://openalex.org/W2596853911","https://openalex.org/W4289538352","https://openalex.org/W2793449486","https://openalex.org/W2125207782","https://openalex.org/W2954431613","https://openalex.org/W2029495777","https://openalex.org/W2765477510","https://openalex.org/W4380608038"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"we":[3],"present":[4],"a":[5,48,73,105],"new":[6,57],"efficient":[7],"iteration":[8],"estimation":[9],"approach":[10],"based":[11,77],"on":[12,78],"local":[13],"modal":[14],"regression":[15],"for":[16,55],"single-index":[17],"varying-coefficient":[18],"models.":[19],"The":[20,35],"resulted":[21],"estimators":[22,40],"are":[23,41,93,109],"shown":[24],"to":[25,60,83,111],"be":[26],"robust":[27],"with":[28,100],"regardless":[29],"of":[30,38,117],"outliers":[31],"and":[32,47,88,104,115],"error":[33],"distributions.":[34],"asymptotic":[36],"properties":[37,92],"the":[39,56,70,89,113],"established":[42],"under":[43],"some":[44,97],"regularity":[45],"conditions":[46],"practical":[49],"modified":[50],"EM":[51],"algorithm":[52],"is":[53,81],"proposed":[54,119],"method.":[58,120],"Moreover,":[59],"achieve":[61],"sparse":[62],"estimator":[63],"when":[64],"there":[65],"exists":[66],"irrelevant":[67],"variables":[68],"in":[69],"index":[71],"parameters,":[72],"variable":[74],"selection":[75],"procedure":[76],"SCAD":[79],"penalty":[80],"developed":[82],"select":[84],"significant":[85],"parametric":[86],"covariates":[87],"well-known":[90],"oracle":[91],"also":[94],"derived.":[95],"Finally,":[96],"numerical":[98],"examples":[99],"various":[101],"distributed":[102],"errors":[103],"real":[106],"data":[107],"analysis":[108],"conducted":[110],"illustrate":[112],"validity":[114],"feasibility":[116],"our":[118]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}