{"id":"https://openalex.org/W4404436436","doi":"https://doi.org/10.1007/s11222-024-10526-1","title":"Bootstrap estimation of the proportion of outliers in robust regression","display_name":"Bootstrap estimation of the proportion of outliers in robust regression","publication_year":2024,"publication_date":"2024-11-16","ids":{"openalex":"https://openalex.org/W4404436436","doi":"https://doi.org/10.1007/s11222-024-10526-1","pmid":"https://pubmed.ncbi.nlm.nih.gov/40370431"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-024-10526-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-024-10526-1","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12077844/pdf/nihms-2073162.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091358424","display_name":"Qiang Heng","orcid":"https://orcid.org/0000-0002-4042-6773"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiang Heng","raw_affiliation_strings":["School of Mathematics, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070269135","display_name":"Kenneth Lange","orcid":"https://orcid.org/0000-0002-1313-5030"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kenneth Lange","raw_affiliation_strings":["Departments of Computational Medicine, Human Genetics, and Statistics, UCLA, Los Angeles, USA"],"affiliations":[{"raw_affiliation_string":"Departments of Computational Medicine, Human Genetics, and Statistics, UCLA, Los Angeles, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091358424"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":2.8674,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91512277,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"35","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9926000237464905,"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":0.9843999743461609,"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/outlier","display_name":"Outlier","score":0.909949541091919},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7181205153465271},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6162373423576355},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.607795238494873},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5373894572257996},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4746977686882019},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4673248827457428},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.464080810546875},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4523618221282959},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.42922982573509216},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4278990626335144},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4126385450363159},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38700801134109497},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3214107155799866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30982518196105957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2725542187690735}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.909949541091919},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7181205153465271},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6162373423576355},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.607795238494873},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5373894572257996},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4746977686882019},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4673248827457428},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.464080810546875},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4523618221282959},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.42922982573509216},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4278990626335144},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4126385450363159},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38700801134109497},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3214107155799866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30982518196105957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2725542187690735},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-024-10526-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-024-10526-1","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmid:40370431","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40370431","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and computing","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:12077844","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12077844","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12077844/pdf/nihms-2073162.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stat Comput","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:12077844","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12077844","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12077844/pdf/nihms-2073162.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stat Comput","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5088041617","display_name":null,"funder_award_id":"HG006139","funder_id":"https://openalex.org/F4320332505","funder_display_name":"U.S. Public Health Service"},{"id":"https://openalex.org/G8583520036","display_name":null,"funder_award_id":"GM53275","funder_id":"https://openalex.org/F4320332505","funder_display_name":"U.S. Public Health Service"}],"funders":[{"id":"https://openalex.org/F4320332505","display_name":"U.S. Public Health Service","ror":"https://ror.org/05xf94514"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404436436.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1970972107","https://openalex.org/W1972043864","https://openalex.org/W1986948589","https://openalex.org/W1992929897","https://openalex.org/W1997944412","https://openalex.org/W2005065743","https://openalex.org/W2009891346","https://openalex.org/W2033894760","https://openalex.org/W2035392043","https://openalex.org/W2039385587","https://openalex.org/W2039989197","https://openalex.org/W2044729876","https://openalex.org/W2057375973","https://openalex.org/W2057682568","https://openalex.org/W2069627663","https://openalex.org/W2093199042","https://openalex.org/W2128899793","https://openalex.org/W2135046866","https://openalex.org/W2147534083","https://openalex.org/W2152701363","https://openalex.org/W2152905171","https://openalex.org/W2168792500","https://openalex.org/W2212433806","https://openalex.org/W2319794630","https://openalex.org/W2562162676","https://openalex.org/W2597367899","https://openalex.org/W2905325529","https://openalex.org/W2959418166","https://openalex.org/W2963351303","https://openalex.org/W2963786589","https://openalex.org/W3003886944","https://openalex.org/W3028113540","https://openalex.org/W3102726611","https://openalex.org/W3105120000","https://openalex.org/W4205163582","https://openalex.org/W4230144159","https://openalex.org/W4230681702","https://openalex.org/W4243563432","https://openalex.org/W4293116277","https://openalex.org/W4366496043","https://openalex.org/W4376616461","https://openalex.org/W4377094678"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W3121734683","https://openalex.org/W4210813465","https://openalex.org/W2085680114","https://openalex.org/W4311044804"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}
