{"id":"https://openalex.org/W2888624049","doi":"https://doi.org/10.1007/s11634-018-0337-y","title":"Finite mixture of regression models for censored data based on scale mixtures of normal distributions","display_name":"Finite mixture of regression models for censored data based on scale mixtures of normal distributions","publication_year":2018,"publication_date":"2018-08-24","ids":{"openalex":"https://openalex.org/W2888624049","doi":"https://doi.org/10.1007/s11634-018-0337-y","mag":"2888624049"},"language":"en","primary_location":{"id":"doi:10.1007/s11634-018-0337-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-018-0337-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and Classification","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/A5031298142","display_name":"Camila Borelli Zeller","orcid":"https://orcid.org/0000-0002-1042-7425"},"institutions":[{"id":"https://openalex.org/I101100930","display_name":"Universidade Federal de Juiz de Fora","ror":"https://ror.org/04yqw9c44","country_code":"BR","type":"education","lineage":["https://openalex.org/I101100930"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Camila Borelli Zeller","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil","institution_ids":["https://openalex.org/I101100930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038270779","display_name":"Celso R\u00f4mulo Barbosa Cabral","orcid":"https://orcid.org/0000-0001-6776-6690"},"institutions":[{"id":"https://openalex.org/I62885914","display_name":"Universidade Federal do Amazonas","ror":"https://ror.org/02263ky35","country_code":"BR","type":"education","lineage":["https://openalex.org/I62885914"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Celso R\u00f4mulo Barbosa Cabral","raw_affiliation_strings":["Departamento de Estat\u00edstica, Universidade Federal do Amazonas, Manaus, Brazil"],"affiliations":[{"raw_affiliation_string":"Departamento de Estat\u00edstica, Universidade Federal do Amazonas, Manaus, Brazil","institution_ids":["https://openalex.org/I62885914"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066821813","display_name":"V\u00edctor H. Lachos","orcid":"https://orcid.org/0000-0002-7239-2459"},"institutions":[{"id":"https://openalex.org/I140172145","display_name":"University of Connecticut","ror":"https://ror.org/02der9h97","country_code":"US","type":"education","lineage":["https://openalex.org/I140172145"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V\u00edctor Hugo Lachos","raw_affiliation_strings":["Department of Statistics, University of Connecticut, Storrs, Connecticut, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Connecticut, Storrs, Connecticut, USA","institution_ids":["https://openalex.org/I140172145"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022502115","display_name":"Luis Benites","orcid":"https://orcid.org/0000-0001-5998-7098"},"institutions":[{"id":"https://openalex.org/I65285256","display_name":"Pontifical Catholic University of Peru","ror":"https://ror.org/00013q465","country_code":"PE","type":"education","lineage":["https://openalex.org/I65285256"]}],"countries":["PE"],"is_corresponding":false,"raw_author_name":"Luis Benites","raw_affiliation_strings":["Departamento de Ciencias, Pontificia Universidad Cat\u00f3lica del Per\u00fa, Lima, Peru"],"affiliations":[{"raw_affiliation_string":"Departamento de Ciencias, Pontificia Universidad Cat\u00f3lica del Per\u00fa, Lima, Peru","institution_ids":["https://openalex.org/I65285256"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038270779"],"corresponding_institution_ids":["https://openalex.org/I62885914"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":2.3691,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.91324034,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"13","issue":"1","first_page":"89","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9973999857902527,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9940999746322632,"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/computer-science","display_name":"Computer science","score":0.5869656801223755},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5453763008117676},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.4948353171348572},{"id":"https://openalex.org/keywords/statistical-inference","display_name":"Statistical inference","score":0.48019683361053467},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4717358350753784},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4631945490837097},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.4534365236759186},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.44412633776664734},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3528406620025635},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.343192994594574},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3424173593521118},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3173607587814331},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21569707989692688},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1817615032196045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1621483862400055}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5869656801223755},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5453763008117676},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.4948353171348572},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.48019683361053467},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4717358350753784},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4631945490837097},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.4534365236759186},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.44412633776664734},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3528406620025635},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.343192994594574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3424173593521118},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3173607587814331},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21569707989692688},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1817615032196045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1621483862400055},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11634-018-0337-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11634-018-0337-y","pdf_url":null,"source":{"id":"https://openalex.org/S4210175730","display_name":"Advances in Data Analysis and Classification","issn_l":"1862-5347","issn":["1862-5347","1862-5355"],"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":"Advances in Data Analysis and Classification","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:advdac:v:13:y:2019:i:1:d:10.1007_s11634-018-0337-y","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s11634-018-0337-y","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G4367914698","display_name":null,"funder_award_id":"APQ-02725-15","funder_id":"https://openalex.org/F4320322980","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais"},{"id":"https://openalex.org/G439973920","display_name":null,"funder_award_id":"478705/2013-1","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G4660929510","display_name":null,"funder_award_id":"447964/2014-3","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"},{"id":"https://openalex.org/G4817543934","display_name":null,"funder_award_id":"2015/20922-5","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"},{"id":"https://openalex.org/G5167165694","display_name":null,"funder_award_id":"305919/2015-6","funder_id":"https://openalex.org/F4320322025","funder_display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320322025","display_name":"Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico","ror":"https://ror.org/03swz6y49"},{"id":"https://openalex.org/F4320322980","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de Minas Gerais","ror":"https://ror.org/00nc55f03"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W45374770","https://openalex.org/W605692607","https://openalex.org/W626620119","https://openalex.org/W1218518433","https://openalex.org/W1487848695","https://openalex.org/W1493454437","https://openalex.org/W1579271636","https://openalex.org/W1830719945","https://openalex.org/W1963792675","https://openalex.org/W1985622505","https://openalex.org/W1996740811","https://openalex.org/W2020158974","https://openalex.org/W2029479258","https://openalex.org/W2029761439","https://openalex.org/W2031334505","https://openalex.org/W2035191359","https://openalex.org/W2038371718","https://openalex.org/W2049633694","https://openalex.org/W2055398703","https://openalex.org/W2067633806","https://openalex.org/W2069551643","https://openalex.org/W2075426298","https://openalex.org/W2081142902","https://openalex.org/W2081907387","https://openalex.org/W2089763487","https://openalex.org/W2090130772","https://openalex.org/W2090268867","https://openalex.org/W2098288588","https://openalex.org/W2117853077","https://openalex.org/W2118254160","https://openalex.org/W2119061151","https://openalex.org/W2139255721","https://openalex.org/W2142913346","https://openalex.org/W2161104570","https://openalex.org/W2171098181","https://openalex.org/W2296041297","https://openalex.org/W2465581670","https://openalex.org/W2488678869","https://openalex.org/W2498094064","https://openalex.org/W2582743722","https://openalex.org/W2620014403","https://openalex.org/W2729516438","https://openalex.org/W2770610745","https://openalex.org/W3123589317","https://openalex.org/W4399570638"],"related_works":["https://openalex.org/W2473373438","https://openalex.org/W2368486525","https://openalex.org/W137830373","https://openalex.org/W3000984192","https://openalex.org/W2077224612","https://openalex.org/W2153481672","https://openalex.org/W2153238387","https://openalex.org/W4312864369","https://openalex.org/W84255947","https://openalex.org/W2014842417"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}