{"id":"https://openalex.org/W2061982025","doi":"https://doi.org/10.1080/03610910903580963","title":"A New Bayesian Nonparametric Mixture Model","display_name":"A New Bayesian Nonparametric Mixture Model","publication_year":2010,"publication_date":"2010-03-31","ids":{"openalex":"https://openalex.org/W2061982025","doi":"https://doi.org/10.1080/03610910903580963","mag":"2061982025"},"language":"en","primary_location":{"id":"doi:10.1080/03610910903580963","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903580963","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":true,"oa_status":"green","oa_url":"https://hal.science/hal-00583556","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061618749","display_name":"Ruth Fuentes\u2013Garc\u00eda","orcid":"https://orcid.org/0000-0002-8253-3518"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"R. Fuentes-Garc\u00eda","raw_affiliation_strings":["Facultad de Ciencias , Universidad Nacional Aut\u00f3noma de M\u00e9xico , M\u00e9xico, M\u00e9xico","Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"Facultad de Ciencias , Universidad Nacional Aut\u00f3noma de M\u00e9xico , M\u00e9xico, M\u00e9xico","institution_ids":["https://openalex.org/I8961855"]},{"raw_affiliation_string":"Facultad de Ciencias, Universidad Nacional Autonoma de Mexico, Mexico, Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047878085","display_name":"Rams\u00e9s H. Mena","orcid":"https://orcid.org/0000-0001-9608-8059"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"R. H. Mena","raw_affiliation_strings":["IIMAS , Universidad Nacional Aut\u00f3noma de M\u00e9xico , M\u00e9xico, M\u00e9xico","IIMAS, Universidad Nacional, Autonoma de Mexico, Mexico, Mexico"],"affiliations":[{"raw_affiliation_string":"IIMAS , Universidad Nacional Aut\u00f3noma de M\u00e9xico , M\u00e9xico, M\u00e9xico","institution_ids":["https://openalex.org/I8961855"]},{"raw_affiliation_string":"IIMAS, Universidad Nacional, Autonoma de Mexico, Mexico, Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079056895","display_name":"Stephen G. Walker","orcid":"https://orcid.org/0009-0006-3560-4738"},"institutions":[{"id":"https://openalex.org/I20581793","display_name":"University of Kent","ror":"https://ror.org/00xkeyj56","country_code":"GB","type":"education","lineage":["https://openalex.org/I20581793"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"S. G. Walker","raw_affiliation_strings":["School of Mathematics, Statistics and Actuarial Science , University of Kent , Canterbury, Kent, United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Statistics and Actuarial Science , University of Kent , Canterbury, Kent, United Kingdom","institution_ids":["https://openalex.org/I20581793"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5079056895"],"corresponding_institution_ids":["https://openalex.org/I20581793"],"apc_list":null,"apc_paid":null,"fwci":0.931,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.8101378,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"39","issue":"4","first_page":"669","last_page":"682"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998000264167786,"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":0.9998000264167786,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9168000221252441,"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/dirichlet-process","display_name":"Dirichlet process","score":0.8381557464599609},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.691214919090271},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6613481044769287},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6391951441764832},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6043610572814941},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.583766758441925},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5377599596977234},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5367860198020935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5093642473220825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4195587635040283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3242216408252716},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3123030662536621},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.2536078691482544},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.10223069787025452}],"concepts":[{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.8381557464599609},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.691214919090271},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6613481044769287},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6391951441764832},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6043610572814941},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.583766758441925},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5377599596977234},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5367860198020935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5093642473220825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4195587635040283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3242216408252716},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3123030662536621},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.2536078691482544},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.10223069787025452},{"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/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/03610910903580963","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903580963","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"},{"id":"pmh:oai:HAL:hal-00583556v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00583556","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications in Statistics - Simulation and Computation, 2010, 39 (04), pp.669-682. ⟨10.1080/03610910903580963⟩","raw_type":"Journal articles"},{"id":"pmh:oai:tara.tcd.ie:2262/54547","is_oa":false,"landing_page_url":"http://hdl.handle.net/2262/54547","pdf_url":null,"source":{"id":"https://openalex.org/S4306400387","display_name":"Trinity's Access to Research Output (TARA) (Trinity College Dublin)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205274468","host_organization_name":"Trinity College Dublin","host_organization_lineage":["https://openalex.org/I205274468"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00583556v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00583556","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications in Statistics - Simulation and Computation, 2010, 39 (04), pp.669-682. ⟨10.1080/03610910903580963⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1511747216","https://openalex.org/W2006043936","https://openalex.org/W2031964861","https://openalex.org/W2038885294","https://openalex.org/W2053405531","https://openalex.org/W2063390378","https://openalex.org/W2065392216","https://openalex.org/W2079501320","https://openalex.org/W2080972498","https://openalex.org/W2082630584","https://openalex.org/W2089484716","https://openalex.org/W2091797506","https://openalex.org/W2101998432","https://openalex.org/W2106706098","https://openalex.org/W2141177889","https://openalex.org/W2151967501","https://openalex.org/W2156412372","https://openalex.org/W3121744295","https://openalex.org/W4230306435","https://openalex.org/W4231099370","https://openalex.org/W4237780050","https://openalex.org/W4245916018","https://openalex.org/W4248679889","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3121467232","https://openalex.org/W2393894849","https://openalex.org/W2107192713","https://openalex.org/W2027714503","https://openalex.org/W2544994990","https://openalex.org/W4254467987","https://openalex.org/W3190171609","https://openalex.org/W1531847006","https://openalex.org/W2170902875","https://openalex.org/W2005265490"],"abstract_inverted_index":{"We":[0,36],"propose":[1],"a":[2],"new":[3],"mixture":[4,20],"model":[5,39],"for":[6],"Bayesian":[7],"nonparametric":[8],"inference.":[9],"Rather":[10],"than":[11],"considering":[12],"extensions":[13],"from":[14],"current":[15],"approaches,":[16],"such":[17],"as":[18],"the":[19,32,38],"of":[21],"Dirichlet":[22],"process":[23],"model,":[24],"we":[25],"end":[26],"up":[27],"shrinking":[28],"it,":[29],"by":[30],"making":[31],"weights":[33],"less":[34],"complex.":[35],"demonstrate":[37],"and":[40],"discuss":[41],"its":[42],"performance.":[43]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}