{"id":"https://openalex.org/W2116843551","doi":"https://doi.org/10.1162/08997660151134299","title":"Bayesian Analysis of Mixtures of Factor Analyzers","display_name":"Bayesian Analysis of Mixtures of Factor Analyzers","publication_year":2001,"publication_date":"2001-05-01","ids":{"openalex":"https://openalex.org/W2116843551","doi":"https://doi.org/10.1162/08997660151134299","mag":"2116843551","pmid":"https://pubmed.ncbi.nlm.nih.gov/11359641"},"language":"en","primary_location":{"id":"doi:10.1162/08997660151134299","is_oa":false,"landing_page_url":"https://doi.org/10.1162/08997660151134299","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5006678861","display_name":"Akio Utsugi","orcid":"https://orcid.org/0000-0002-0890-1570"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Akio Utsugi","raw_affiliation_strings":["National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan","National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan#TAB#","institution_ids":["https://openalex.org/I73613424"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074422173","display_name":"Toru Kumagai","orcid":"https://orcid.org/0000-0001-6061-7289"},"institutions":[{"id":"https://openalex.org/I73613424","display_name":"National Institute of Advanced Industrial Science and Technology","ror":"https://ror.org/01703db54","country_code":"JP","type":"government","lineage":["https://openalex.org/I73613424"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toru Kumagai","raw_affiliation_strings":["National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan","National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan#TAB#"],"affiliations":[{"raw_affiliation_string":"National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan","institution_ids":["https://openalex.org/I73613424"]},{"raw_affiliation_string":"National Institute of Bioscience and Human-Technology, Tsukuba 305-8566, Japan#TAB#","institution_ids":["https://openalex.org/I73613424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006678861"],"corresponding_institution_ids":["https://openalex.org/I73613424"],"apc_list":null,"apc_paid":null,"fwci":2.1805,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.89825696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"13","issue":"5","first_page":"993","last_page":"1002"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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":0.9994000196456909,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.9916999936103821,"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/gibbs-sampling","display_name":"Gibbs sampling","score":0.9014399647712708},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8206734657287598},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.5904111862182617},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.5556565523147583},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5513003468513489},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5188230872154236},{"id":"https://openalex.org/keywords/conjugate-prior","display_name":"Conjugate prior","score":0.5098806619644165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5017578601837158},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.44406935572624207},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4352438747882843},{"id":"https://openalex.org/keywords/bayes-factor","display_name":"Bayes factor","score":0.41513270139694214},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.41488543152809143},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3870197534561157},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3641769289970398},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3264572024345398},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1348000168800354}],"concepts":[{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.9014399647712708},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8206734657287598},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.5904111862182617},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.5556565523147583},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5513003468513489},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5188230872154236},{"id":"https://openalex.org/C26004113","wikidata":"https://www.wikidata.org/wiki/Q3711784","display_name":"Conjugate prior","level":4,"score":0.5098806619644165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5017578601837158},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.44406935572624207},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4352438747882843},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.41513270139694214},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.41488543152809143},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3870197534561157},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3641769289970398},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3264572024345398},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1348000168800354},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005163","descriptor_name":"Factor Analysis, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005163","descriptor_name":"Factor Analysis, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005163","descriptor_name":"Factor Analysis, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1162/08997660151134299","is_oa":false,"landing_page_url":"https://doi.org/10.1162/08997660151134299","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:11359641","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/11359641","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":"Neural computation","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.100.448","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://staff.aist.go.jp/utsugi-a/bamfa.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.21.4129","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.4129","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aist.go.jp/NIBH/~b0616/bamfa.ps.gz","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W127683478","https://openalex.org/W130037070","https://openalex.org/W1662191912","https://openalex.org/W2038885294","https://openalex.org/W2060530519","https://openalex.org/W2096878708","https://openalex.org/W2111842831","https://openalex.org/W2115548929","https://openalex.org/W2146610201","https://openalex.org/W2169694221","https://openalex.org/W2294460823","https://openalex.org/W2503100348","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2060989303","https://openalex.org/W4300405214","https://openalex.org/W2944014318","https://openalex.org/W2196347524","https://openalex.org/W2112344730","https://openalex.org/W2091731865","https://openalex.org/W2558677930","https://openalex.org/W2945642879","https://openalex.org/W4246698572","https://openalex.org/W2116843551"],"abstract_inverted_index":{"For":[0],"Bayesian":[1],"inference":[2],"on":[3,12,79],"the":[4,13,27,46,51,70,74],"mixture":[5],"of":[6,43,69],"factor":[7],"analyzers,":[8],"natural":[9],"conjugate":[10],"priors":[11],"parameters":[14],"are":[15,77],"introduced,":[16],"and":[17,73],"then":[18],"a":[19,33,58,60,80],"Gibbs":[20,52,71],"sampler":[21,72],"that":[22],"generates":[23],"parameter":[24],"samples":[25,44],"following":[26],"posterior":[28],"is":[29,37,55],"constructed.":[30],"In":[31],"addition,":[32],"deterministic":[34,75],"estimation":[35,62],"algorithm":[36,63,76],"derived":[38],"by":[39],"taking":[40],"modes":[41],"instead":[42],"from":[45],"conditional":[47],"posteriors":[48],"used":[49],"in":[50],"sampler.":[53],"This":[54],"regarded":[56],"as":[57],"maximum":[59],"posteriori":[61],"with":[64],"hyperparameter":[65],"search.":[66],"The":[67],"behaviors":[68],"compared":[78],"simulation":[81],"experiment.":[82]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
