{"id":"https://openalex.org/W3016411318","doi":"https://doi.org/10.1080/03610918.2020.1752379","title":"Comparative study of<i>L</i><sub>1</sub>regularized logistic regression methods for variable selection","display_name":"Comparative study of<i>L</i><sub>1</sub>regularized logistic regression methods for variable selection","publication_year":2020,"publication_date":"2020-04-14","ids":{"openalex":"https://openalex.org/W3016411318","doi":"https://doi.org/10.1080/03610918.2020.1752379","mag":"3016411318"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1752379","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1752379","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/A5086745901","display_name":"M. El Guide","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131560","display_name":"Universit\u00e9 Mohammed VI Polytechnique","ror":"https://ror.org/03xc55g68","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210131560"]}],"countries":["MA"],"is_corresponding":false,"raw_author_name":"M. El Guide","raw_affiliation_strings":["Centre for Behavioural Economics and Decision Making, FGSES, Mohammed VI Polytechnic University, Green City, Morocco"],"affiliations":[{"raw_affiliation_string":"Centre for Behavioural Economics and Decision Making, FGSES, Mohammed VI Polytechnic University, Green City, Morocco","institution_ids":["https://openalex.org/I4210131560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107305172","display_name":"Khalide Jbilou","orcid":"https://orcid.org/0000-0001-7557-5907"},"institutions":[{"id":"https://openalex.org/I4210131560","display_name":"Universit\u00e9 Mohammed VI Polytechnique","ror":"https://ror.org/03xc55g68","country_code":"MA","type":"education","lineage":["https://openalex.org/I4210131560"]},{"id":"https://openalex.org/I2802487185","display_name":"Universit\u00e9 du littoral c\u00f4te d'opale","ror":"https://ror.org/02gdcg342","country_code":"FR","type":"education","lineage":["https://openalex.org/I2802487185"]}],"countries":["FR","MA"],"is_corresponding":false,"raw_author_name":"K. Jbilou","raw_affiliation_strings":["Complex Systems Engineering and Human Systems, Mohammed VI Polytechnic University, Green City, Morocco","Department of Mathematics, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Calais Cedex, France"],"affiliations":[{"raw_affiliation_string":"Complex Systems Engineering and Human Systems, Mohammed VI Polytechnic University, Green City, Morocco","institution_ids":["https://openalex.org/I4210131560"]},{"raw_affiliation_string":"Department of Mathematics, Universit\u00e9 du Littoral C\u00f4te d\u2019Opale, Calais Cedex, France","institution_ids":["https://openalex.org/I2802487185"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001849682","display_name":"Christos Koukouvinos","orcid":"https://orcid.org/0000-0003-1907-2031"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"C. Koukouvinos","raw_affiliation_strings":["Department of Mathematics, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041992571","display_name":"Angeliki Lappa","orcid":"https://orcid.org/0000-0002-9702-7220"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A. Lappa","raw_affiliation_strings":["Department of Mathematics, National Technical University of Athens, Athens, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Technical University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5001849682"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":1.0771,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.79378044,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"51","issue":"9","first_page":"4957","last_page":"4972"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9865999817848206,"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/logistic-regression","display_name":"Logistic regression","score":0.8479945659637451},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7072852849960327},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.6941888928413391},{"id":"https://openalex.org/keywords/design-matrix","display_name":"Design matrix","score":0.6204745173454285},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5298725366592407},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4964357018470764},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.49428772926330566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47038733959198},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4614905118942261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4582355320453644},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.453232079744339},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.4458669424057007},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.439103901386261},{"id":"https://openalex.org/keywords/regression-diagnostic","display_name":"Regression diagnostic","score":0.42255979776382446},{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.4112180173397064},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3323785662651062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.313337504863739},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.20103073120117188}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8479945659637451},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7072852849960327},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.6941888928413391},{"id":"https://openalex.org/C203233044","wikidata":"https://www.wikidata.org/wiki/Q5264358","display_name":"Design matrix","level":3,"score":0.6204745173454285},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5298725366592407},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4964357018470764},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.49428772926330566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47038733959198},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4614905118942261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4582355320453644},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.453232079744339},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.4458669424057007},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.439103901386261},{"id":"https://openalex.org/C57381214","wikidata":"https://www.wikidata.org/wiki/Q55631393","display_name":"Regression diagnostic","level":4,"score":0.42255979776382446},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.4112180173397064},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3323785662651062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.313337504863739},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.20103073120117188},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1752379","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1752379","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1513066584","https://openalex.org/W1525000985","https://openalex.org/W1534292004","https://openalex.org/W1557899560","https://openalex.org/W1603331133","https://openalex.org/W1984514442","https://openalex.org/W2000981620","https://openalex.org/W2063978378","https://openalex.org/W2068026461","https://openalex.org/W2097360283","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2145473366","https://openalex.org/W2282206002","https://openalex.org/W2526967658","https://openalex.org/W2618576963","https://openalex.org/W2786970068","https://openalex.org/W2903718010","https://openalex.org/W4234062666","https://openalex.org/W4294541781","https://openalex.org/W4301861531","https://openalex.org/W4395021152"],"related_works":["https://openalex.org/W4248368593","https://openalex.org/W4246416652","https://openalex.org/W3193918736","https://openalex.org/W4389137504","https://openalex.org/W3164319184","https://openalex.org/W202514634","https://openalex.org/W2163054609","https://openalex.org/W4211027790","https://openalex.org/W3183807417","https://openalex.org/W1971196763"],"abstract_inverted_index":{"L1":[0,21,56],"regularized":[1,57,75],"logistic":[2,58,76],"regression":[3,59,77],"consists":[4],"an":[5],"important":[6,44],"tool":[7],"in":[8,26,31,78],"data":[9],"science":[10],"and":[11,29,94],"is":[12,23,38,67],"dedicated":[13],"to":[14,40],"solve":[15],"sparse":[16],"generalized":[17,32],"linear":[18,33],"problems.":[19],"The":[20,61],"regularization":[22],"widely":[24],"used":[25],"variable":[27,71],"selection":[28,72],"estimation":[30],"model":[34],"analysis.":[35],"This":[36],"approach":[37],"intended":[39],"select":[41],"the":[42,51,70,108,112],"statistically":[43],"predictors.":[45],"In":[46],"this":[47,97],"paper":[48],"we":[49,95],"compare":[50],"performance":[52,73],"of":[53,63,74,87,91,111],"some":[54],"existing":[55],"methods.":[60],"goal":[62],"our":[64],"simulation":[65],"study":[66],"directed":[68],"toward":[69],"high":[79],"dimensions.":[80],"We":[81],"consider":[82],"three":[83],"varying":[84],"n":[85],"(number":[86,90],"observations),":[88],"p":[89],"predictors)":[92],"settings":[93],"support":[96],"comparison":[98],"analysis":[99],"by":[100],"conducting":[101],"various":[102],"simulated":[103],"experiments":[104],"taking":[105],"into":[106],"consideration":[107],"correlation":[109],"structure":[110],"design":[113],"matrix.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
