{"id":"https://openalex.org/W953300354","doi":"https://doi.org/10.1007/978-3-7908-2604-3_6","title":"Robust Model Selection with LARS Based on S-estimators","display_name":"Robust Model Selection with LARS Based on S-estimators","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W953300354","doi":"https://doi.org/10.1007/978-3-7908-2604-3_6","mag":"953300354"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-7908-2604-3_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7908-2604-3_6","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of COMPSTAT'2010","raw_type":"book-chapter"},"type":"book-chapter","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/A5022988784","display_name":"Claudio Agostinelli","orcid":"https://orcid.org/0000-0001-6702-4312"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Claudio Agostinelli","raw_affiliation_strings":["Dipartimento di Statistica, Ca\u2019 Foscari University, Venice, Italy","Dipartimento di Statistica, Ca' Foscari University, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Dipartimento di Statistica, Ca\u2019 Foscari University, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Dipartimento di Statistica, Ca' Foscari University, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014390168","display_name":"Mat\u00edas Salibi\u00e1n\u2010Barrera","orcid":"https://orcid.org/0000-0003-1873-4611"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Matias Salibian-Barrera","raw_affiliation_strings":["Department of Statistics, The University of British Columbia, Vancouver, BC, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, The University of British Columbia, Vancouver, BC, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022988784"],"corresponding_institution_ids":["https://openalex.org/I149461666"],"apc_list":null,"apc_paid":null,"fwci":0.69764012,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.77830832,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"69","last_page":"78"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9998000264167786,"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":0.9998000264167786,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9983999729156494,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9969000220298767,"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/outlier","display_name":"Outlier","score":0.8024410009384155},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7790853977203369},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7018442153930664},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5653008222579956},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.47990381717681885},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47026973962783813},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4490165114402771},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.44620296359062195},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.4153469204902649},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4126274585723877},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40567338466644287},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3942485749721527},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3891329765319824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3681168258190155},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3322810232639313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28547194600105286}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8024410009384155},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7790853977203369},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7018442153930664},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5653008222579956},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.47990381717681885},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47026973962783813},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4490165114402771},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44620296359062195},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.4153469204902649},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4126274585723877},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40567338466644287},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3942485749721527},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3891329765319824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3681168258190155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3322810232639313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28547194600105286},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-7908-2604-3_6","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-7908-2604-3_6","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of COMPSTAT'2010","raw_type":"book-chapter"},{"id":"pmh:oai:iris.unive.it:10278/22829","is_oa":false,"landing_page_url":"http://hdl.handle.net/10278/22829","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W36711357","https://openalex.org/W127286053","https://openalex.org/W149129625","https://openalex.org/W595553406","https://openalex.org/W1480376833","https://openalex.org/W1594061595","https://openalex.org/W1969423031","https://openalex.org/W1969936152","https://openalex.org/W1981123634","https://openalex.org/W1988054728","https://openalex.org/W1993557629","https://openalex.org/W2016889279","https://openalex.org/W2017014583","https://openalex.org/W2034078604","https://openalex.org/W2037030821","https://openalex.org/W2038020460","https://openalex.org/W2039873147","https://openalex.org/W2039943102","https://openalex.org/W2061317273","https://openalex.org/W2063978378","https://openalex.org/W2079356438","https://openalex.org/W2135046866","https://openalex.org/W2154671771","https://openalex.org/W2161624125","https://openalex.org/W2168175751","https://openalex.org/W2795536332","https://openalex.org/W2897129259","https://openalex.org/W3016133651","https://openalex.org/W4213282203","https://openalex.org/W4243797702","https://openalex.org/W4246048519","https://openalex.org/W4249424572","https://openalex.org/W4255230573","https://openalex.org/W4300819821"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W128985311","https://openalex.org/W2800721711","https://openalex.org/W3015383640"],"abstract_inverted_index":{"We":[0,19,106],"consider":[1],"the":[2,23,37,40,87,98,112,132,137,148,153,162],"problem":[3,81],"of":[4,9,17,42,97,111,134,150],"selecting":[5],"a":[6,13,54],"parsimonious":[7],"subset":[8],"explanatory":[10],"variables":[11,135],"from":[12],"potentially":[14],"large":[15],"collection":[16],"covariates.":[18],"are":[20,64,76],"concerned":[21],"with":[22],"case":[24],"when":[25,74,131],"data":[26,154],"quality":[27],"may":[28,68],"be":[29,34],"unreliable":[30],"(e.g.":[31],"there":[32],"might":[33],"outliers":[35,151],"among":[36],"observations).":[38],"When":[39],"number":[41,133],"available":[43,99],"covariates":[44,100],"is":[45,52,125,144],"moderately":[46],"large,":[47],"fitting":[48],"all":[49],"possible":[50],"subsets":[51],"not":[53],"feasible":[55],"option.":[56],"Sequential":[57],"methods":[58],"like":[59],"forward":[60],"or":[61],"backward":[62],"selection":[63],"generally":[65],"\u201cgreedy\u201d":[66],"and":[67,120,128,155],"fail":[69],"to":[70,92,103,147,158],"include":[71],"important":[72],"predictors":[73],"these":[75],"correlated.":[77],"To":[78],"avoid":[79],"this":[80],"Efron":[82],"et":[83],"al.":[84],"(2004)":[85],"proposed":[86],"Least":[88],"Angle":[89],"Regression":[90],"algorithm":[91,114,124],"produce":[93],"an":[94],"ordered":[95],"list":[96],"(sequencing)":[101],"according":[102],"their":[104],"relevance.":[105],"introduce":[107],"outlier":[108],"robust":[109,146],"versions":[110],"LARS":[113],"based":[115],"on":[116],"S-estimators":[117],"for":[118],"regression&#13;\\n(Rousseeuw":[119],"Yohai,":[121],"1984).":[122],"This":[123],"computationally":[126],"efficient":[127],"suit-&#13;\\nable":[129],"even":[130],"exceeds":[136],"sample":[138],"size.":[139],"Simulation":[140],"studies&#13;\\nshow":[141],"that":[142],"it":[143],"also":[145],"presence":[149],"in":[152,161],"compares":[156],"favourably":[157],"previous":[159],"proposals":[160],"literature.":[163]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
