{"id":"https://openalex.org/W2124942481","doi":"https://doi.org/10.1109/icassp.2011.5947288","title":"The transformed Variational Bayes approximation","display_name":"The transformed Variational Bayes approximation","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2124942481","doi":"https://doi.org/10.1109/icassp.2011.5947288","mag":"2124942481"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5947288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-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/A5069737781","display_name":"Viet Hung Tran","orcid":"https://orcid.org/0000-0001-7024-2601"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]},{"id":"https://openalex.org/I56722557","display_name":"Trinity College","ror":"https://ror.org/03j3dbz94","country_code":"US","type":"education","lineage":["https://openalex.org/I56722557"]}],"countries":["IE","US"],"is_corresponding":true,"raw_author_name":"Viet Hung Tran","raw_affiliation_strings":["Trinity College Dublin, Ireland","Trinity College, Dublin, USA"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]},{"raw_affiliation_string":"Trinity College, Dublin, USA","institution_ids":["https://openalex.org/I56722557"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012149887","display_name":"Anthony Quinn","orcid":"https://orcid.org/0000-0002-3873-7556"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]},{"id":"https://openalex.org/I56722557","display_name":"Trinity College","ror":"https://ror.org/03j3dbz94","country_code":"US","type":"education","lineage":["https://openalex.org/I56722557"]}],"countries":["IE","US"],"is_corresponding":false,"raw_author_name":"Anthony Quinn","raw_affiliation_strings":["Trinity College Dublin, Ireland","Trinity College, Dublin, USA"],"affiliations":[{"raw_affiliation_string":"Trinity College Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]},{"raw_affiliation_string":"Trinity College, Dublin, USA","institution_ids":["https://openalex.org/I56722557"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069737781"],"corresponding_institution_ids":["https://openalex.org/I205274468","https://openalex.org/I56722557"],"apc_list":null,"apc_paid":null,"fwci":0.3062,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56909974,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"4236","last_page":"4239"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9987000226974487,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9901000261306763,"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/orthogonalization","display_name":"Orthogonalization","score":0.6345439553260803},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.6280634999275208},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5527035593986511},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5065006017684937},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.49983668327331543},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4915800988674164},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4891255497932434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47801291942596436},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.47475722432136536},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4714528024196625},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4359198212623596},{"id":"https://openalex.org/keywords/approximate-inference","display_name":"Approximate inference","score":0.42983904480934143},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.417856901884079},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4147270917892456},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41299593448638916},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34356755018234253},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09455406665802002}],"concepts":[{"id":"https://openalex.org/C47559304","wikidata":"https://www.wikidata.org/wiki/Q1702189","display_name":"Orthogonalization","level":2,"score":0.6345439553260803},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.6280634999275208},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5527035593986511},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5065006017684937},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.49983668327331543},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4915800988674164},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4891255497932434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47801291942596436},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.47475722432136536},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4714528024196625},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4359198212623596},{"id":"https://openalex.org/C2777472644","wikidata":"https://www.wikidata.org/wiki/Q16968992","display_name":"Approximate inference","level":3,"score":0.42983904480934143},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.417856901884079},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4147270917892456},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41299593448638916},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34356755018234253},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09455406665802002},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2011.5947288","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5947288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1959492","https://openalex.org/W10810736","https://openalex.org/W575122527","https://openalex.org/W1968400767","https://openalex.org/W1986817398","https://openalex.org/W2061893297","https://openalex.org/W2148477638","https://openalex.org/W6600448088","https://openalex.org/W6616374984","https://openalex.org/W6814036419"],"related_works":["https://openalex.org/W4388716341","https://openalex.org/W2963960970","https://openalex.org/W4221153946","https://openalex.org/W2963071676","https://openalex.org/W2548353158","https://openalex.org/W2099667085","https://openalex.org/W4302573481","https://openalex.org/W2505308168","https://openalex.org/W2775655892","https://openalex.org/W2625557046"],"abstract_inverted_index":{"The":[0,21],"purpose":[1],"of":[2,15,95],"this":[3],"paper":[4,53],"is":[5,23,34,74],"to":[6,24,54,60,77,84],"develop":[7],"parameter":[8],"transformation":[9],"strategies":[10],"that":[11],"improve":[12],"the":[13,16,40,52,61,70,79,92],"accuracy":[14],"Variational":[17],"Bayes":[18],"(VB)":[19],"approximation.":[20],"idea":[22],"find":[25],"a":[26,44],"transformed":[27,56],"metric":[28],"in":[29,51],"which":[30],"coupling":[31],"between":[32],"parameters":[33],"reduced.":[35],"Parameter":[36],"orthogonalization":[37],"methods":[38],"from":[39],"statistical":[41],"literature":[42],"provide":[43],"starting":[45],"point,":[46],"but":[47],"these":[48],"are":[49,103],"extended":[50],"yield":[55],"distributions":[57],"more":[58],"amenable":[59],"independence":[62],"approximation":[63,73],"imposed":[64],"by":[65],"VB.":[66],"Among":[67],"other":[68],"contexts,":[69],"Transformed":[71],"VB":[72],"applied":[75],"successfully":[76],"(i)":[78],"normal":[80],"inverse-gamma":[81],"distribution":[82],"central":[83],"Bayesian":[85],"inference":[86],"for":[87],"(auto)regressive":[88],"models,":[89],"and":[90],"(ii)":[91],"nonlinear":[93],"context":[94],"sinusoidal":[96],"frequency":[97],"inference,":[98],"where":[99],"promising":[100],"performance":[101],"enhancements":[102],"reported.":[104]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
