{"id":"https://openalex.org/W1993043640","doi":"https://doi.org/10.1007/s11265-013-0769-8","title":"Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference","display_name":"Predictive Distribution of the Dirichlet Mixture Model by Local Variational Inference","publication_year":2013,"publication_date":"2013-08-29","ids":{"openalex":"https://openalex.org/W1993043640","doi":"https://doi.org/10.1007/s11265-013-0769-8","mag":"1993043640"},"language":"en","primary_location":{"id":"doi:10.1007/s11265-013-0769-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11265-013-0769-8","pdf_url":null,"source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"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":"Journal of Signal Processing Systems","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/A5039812471","display_name":"Zhanyu Ma","orcid":"https://orcid.org/0000-0003-2950-2488"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhanyu Ma","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China#TAB#","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061049272","display_name":"Arne Leijon","orcid":null},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Arne Leijon","raw_affiliation_strings":["School of Electrical Engineering, KTH - Royal Institute of Technology, Stockholm, Sweden","[School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, KTH - Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"[School of Electrical Engineering, KTH Royal Institute of Technology, Stockholm, Sweden]","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090108098","display_name":"Zheng\u2010Hua Tan","orcid":"https://orcid.org/0000-0001-6856-8928"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Zheng-Hua Tan","raw_affiliation_strings":["Department of Electronic Systems, Aalborg University, Aalborg, Denmark","Dept. of Electronic Systems, Aalborg University, Aalborg, Denmark#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Dept. of Electronic Systems, Aalborg University, Aalborg, Denmark#TAB#","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101707899","display_name":"Sheng Gao","orcid":"https://orcid.org/0000-0003-1591-0595"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Gao","raw_affiliation_strings":["Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Pattern Recognition and Intelligent System Laboratory, Beijing University of Posts and Telecommunications, Beijing, China#TAB#","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039812471"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":1.1182,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.84503016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"74","issue":"3","first_page":"359","last_page":"374"},"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9902999997138977,"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9889000058174133,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.736036479473114},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6596798896789551},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5560433864593506},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.5234536528587341},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5080878734588623},{"id":"https://openalex.org/keywords/predictive-inference","display_name":"Predictive inference","score":0.4837524890899658},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4625180959701538},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4368709623813629},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.43011510372161865},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4256898760795593},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41486668586730957},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.344990611076355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27306699752807617},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26599979400634766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20401665568351746},{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.1569063365459442},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12822672724723816}],"concepts":[{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.736036479473114},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6596798896789551},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5560433864593506},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.5234536528587341},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5080878734588623},{"id":"https://openalex.org/C917703","wikidata":"https://www.wikidata.org/wiki/Q7239668","display_name":"Predictive inference","level":5,"score":0.4837524890899658},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4625180959701538},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4368709623813629},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.43011510372161865},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4256898760795593},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41486668586730957},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.344990611076355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27306699752807617},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26599979400634766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20401665568351746},{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.1569063365459442},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12822672724723816},{"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":2,"locations":[{"id":"doi:10.1007/s11265-013-0769-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11265-013-0769-8","pdf_url":null,"source":{"id":"https://openalex.org/S11258463","display_name":"Journal of Signal Processing Systems","issn_l":"1939-8018","issn":["1939-8018","1939-8115"],"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":"Journal of Signal Processing Systems","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:publications/60f68a6b-31dd-49fe-b3cc-3ea56f4432b1","is_oa":false,"landing_page_url":"https://vbn.aau.dk/da/publications/60f68a6b-31dd-49fe-b3cc-3ea56f4432b1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ma, Z, Leijon, A, Tan, Z-H & Gao, S 2014, 'Predictive Distribution of the Dirichlet Mixture Model by the Local Variational Inference Method', Journal of Signal Processing Systems, vol. 74, no. 3, pp. 359-374. https://doi.org/10.1007/s11265-013-0769-8","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.800000011920929,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W190008395","https://openalex.org/W1496451467","https://openalex.org/W1502799746","https://openalex.org/W1506806321","https://openalex.org/W1515272691","https://openalex.org/W1540484164","https://openalex.org/W1579271636","https://openalex.org/W1585549083","https://openalex.org/W1592305655","https://openalex.org/W1663973292","https://openalex.org/W1880262756","https://openalex.org/W1934021597","https://openalex.org/W1999312829","https://openalex.org/W2005913992","https://openalex.org/W2009301803","https://openalex.org/W2015245929","https://openalex.org/W2017500114","https://openalex.org/W2020622036","https://openalex.org/W2030835564","https://openalex.org/W2045730498","https://openalex.org/W2048882108","https://openalex.org/W2050190133","https://openalex.org/W2075647286","https://openalex.org/W2081895431","https://openalex.org/W2082503527","https://openalex.org/W2083391375","https://openalex.org/W2083823130","https://openalex.org/W2095621940","https://openalex.org/W2096784803","https://openalex.org/W2113526703","https://openalex.org/W2117853077","https://openalex.org/W2125675750","https://openalex.org/W2127498532","https://openalex.org/W2128925311","https://openalex.org/W2132549764","https://openalex.org/W2133471459","https://openalex.org/W2136898156","https://openalex.org/W2142475676","https://openalex.org/W2152594362","https://openalex.org/W2163713820","https://openalex.org/W2165072487","https://openalex.org/W2168934042","https://openalex.org/W2240536489","https://openalex.org/W2296319761","https://openalex.org/W2417825098","https://openalex.org/W2488678869","https://openalex.org/W3099640513","https://openalex.org/W3148930403","https://openalex.org/W4212863985","https://openalex.org/W4230369866","https://openalex.org/W4230675943","https://openalex.org/W4250589301","https://openalex.org/W6607826182","https://openalex.org/W6629510986","https://openalex.org/W6632212546","https://openalex.org/W6639619044","https://openalex.org/W6716616322"],"related_works":["https://openalex.org/W2059343102","https://openalex.org/W2520428977","https://openalex.org/W2945707868","https://openalex.org/W2313210471","https://openalex.org/W1998061202","https://openalex.org/W88131178","https://openalex.org/W3145273302","https://openalex.org/W1529069387","https://openalex.org/W4402530664","https://openalex.org/W3033856829"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}