{"id":"https://openalex.org/W2064606425","doi":"https://doi.org/10.1109/tsp.2013.2286776","title":"Bayesian Model Comparison With the g-Prior","display_name":"Bayesian Model Comparison With the g-Prior","publication_year":2013,"publication_date":"2013-10-22","ids":{"openalex":"https://openalex.org/W2064606425","doi":"https://doi.org/10.1109/tsp.2013.2286776","mag":"2064606425"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2013.2286776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2286776","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/ws/files/160312613/master.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088017609","display_name":"Jesper Kj\u00e6r Nielsen","orcid":"https://orcid.org/0000-0002-2586-7925"},"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":"Jesper Kjaer Nielsen","raw_affiliation_strings":["Signal and Information Processing Section, Aalborg University, Aalborg, Denmark","[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing Section, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026658144","display_name":"Mads Gr\u00e6sb\u00f8ll Christensen","orcid":"https://orcid.org/0000-0003-3586-7969"},"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":"Mads Graesboll Christensen","raw_affiliation_strings":["Department of Architecture, Audio Analysis Lab, Aalborg, Denmark","Dept. of Archit., Design & Media Technol. Aalborg Univ., Aalborg, Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Architecture, Audio Analysis Lab, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Dept. of Archit., Design & Media Technol. Aalborg Univ., Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064633247","display_name":"Ali Taylan Cemgil","orcid":"https://orcid.org/0000-0003-4463-8455"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Ali Taylan Cemgil","raw_affiliation_strings":["Department of Computer Engineering, Bogazi\u00e7i University, Bebek, Istanbul, Turkey","Department of Computer Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bogazi\u00e7i University, Bebek, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]},{"raw_affiliation_string":"Department of Computer Engineering, Bo\u011fazi\u00e7i University, Istanbul, Turkey#TAB#","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103115969","display_name":"S\u00f8ren Holdt Jensen","orcid":"https://orcid.org/0000-0002-1050-470X"},"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":"Soren Holdt Jensen","raw_affiliation_strings":["Signal and Information Processing Section, Aalborg University, Aalborg, Denmark","[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Signal and Information Processing Section, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"[Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark]","institution_ids":["https://openalex.org/I891191580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8942,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.93606505,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"62","issue":"1","first_page":"225","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9955000281333923,"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":0.9941999912261963,"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/bayesian-probability","display_name":"Bayesian probability","score":0.5320777893066406},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5256163477897644},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35555416345596313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.349708616733551},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34509924054145813}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5320777893066406},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5256163477897644},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35555416345596313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.349708616733551},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34509924054145813}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2013.2286776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2013.2286776","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/9b7ccd66-0f96-463f-839d-c0c19cf6367d","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/9b7ccd66-0f96-463f-839d-c0c19cf6367d","pdf_url":"https://vbn.aau.dk/ws/files/160312613/master.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nielsen, J K, Christensen, M G, Cemgil, A T & Jensen, S H 2014, 'Bayesian Model Comparison With the g-Prior', I E E E Transactions on Signal Processing, vol. 62, no. 1, pp. 225-238. https://doi.org/10.1109/TSP.2013.2286776","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.707.6288","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.707.6288","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sqrt-1.dk/aboutme/publications/20131016_IEEETSP13.pdf","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/9b7ccd66-0f96-463f-839d-c0c19cf6367d","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/9b7ccd66-0f96-463f-839d-c0c19cf6367d","pdf_url":"https://vbn.aau.dk/ws/files/160312613/master.pdf","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Nielsen, J K, Christensen, M G, Cemgil, A T & Jensen, S H 2014, 'Bayesian Model Comparison With the g-Prior', I E E E Transactions on Signal Processing, vol. 62, no. 1, pp. 225-238. https://doi.org/10.1109/TSP.2013.2286776","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2064606425.pdf","grobid_xml":"https://content.openalex.org/works/W2064606425.grobid-xml"},"referenced_works_count":87,"referenced_works":["https://openalex.org/W32998062","https://openalex.org/W108201922","https://openalex.org/W210359992","https://openalex.org/W1488105383","https://openalex.org/W1500470240","https://openalex.org/W1505236992","https://openalex.org/W1551753020","https://openalex.org/W1567519924","https://openalex.org/W1598928703","https://openalex.org/W1663973292","https://openalex.org/W1814500939","https://openalex.org/W1965392255","https://openalex.org/W1966886163","https://openalex.org/W1970370090","https://openalex.org/W1970432641","https://openalex.org/W1974315578","https://openalex.org/W1979905116","https://openalex.org/W1984544290","https://openalex.org/W1985093013","https://openalex.org/W1998070180","https://openalex.org/W2000836282","https://openalex.org/W2003068901","https://openalex.org/W2004484358","https://openalex.org/W2004872080","https://openalex.org/W2008205728","https://openalex.org/W2008414513","https://openalex.org/W2015749074","https://openalex.org/W2017234250","https://openalex.org/W2017696952","https://openalex.org/W2020389170","https://openalex.org/W2039657559","https://openalex.org/W2042478193","https://openalex.org/W2045656233","https://openalex.org/W2054594717","https://openalex.org/W2054658115","https://openalex.org/W2054699810","https://openalex.org/W2055154649","https://openalex.org/W2070783909","https://openalex.org/W2078695030","https://openalex.org/W2081724349","https://openalex.org/W2084089095","https://openalex.org/W2085322894","https://openalex.org/W2096710051","https://openalex.org/W2101122849","https://openalex.org/W2106706098","https://openalex.org/W2114160172","https://openalex.org/W2117170433","https://openalex.org/W2117838564","https://openalex.org/W2120636621","https://openalex.org/W2122917607","https://openalex.org/W2122951883","https://openalex.org/W2123933039","https://openalex.org/W2127421076","https://openalex.org/W2129531883","https://openalex.org/W2137311166","https://openalex.org/W2142635246","https://openalex.org/W2143707047","https://openalex.org/W2148249824","https://openalex.org/W2152933101","https://openalex.org/W2154239231","https://openalex.org/W2155833587","https://openalex.org/W2156257099","https://openalex.org/W2156893865","https://openalex.org/W2157005274","https://openalex.org/W2168175751","https://openalex.org/W2172485033","https://openalex.org/W2294604761","https://openalex.org/W2331188962","https://openalex.org/W2334312370","https://openalex.org/W2425246132","https://openalex.org/W2947000318","https://openalex.org/W3008609509","https://openalex.org/W3122429434","https://openalex.org/W3140968660","https://openalex.org/W3214323364","https://openalex.org/W4212863985","https://openalex.org/W4230730227","https://openalex.org/W4231506434","https://openalex.org/W4232383088","https://openalex.org/W4235256018","https://openalex.org/W4245186283","https://openalex.org/W4249186015","https://openalex.org/W4250518393","https://openalex.org/W4292691288","https://openalex.org/W4299551239","https://openalex.org/W4299729612","https://openalex.org/W6678007500"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596"],"abstract_inverted_index":{"Model":[0],"comparison":[1,140],"and":[2,46,73,87,100,118,141,157],"selection":[3,91,142],"is":[4,167],"an":[5,44],"important":[6],"problem":[7],"in":[8,47,56,77,150,158],"many":[9],"model-based":[10],"signal":[11],"processing":[12],"applications.":[13],"Often,":[14],"very":[15],"simple":[16],"information":[17,23,28,116,147],"criteria":[18,117,148],"such":[19],"as":[20],"the":[21,26,52,62,69,114,123,127,145,154],"Akaike":[22],"criterion":[24,29],"or":[25],"Bayesian":[27,79],"are":[30],"used":[31],"despite":[32],"their":[33,120],"shortcomings.":[34],"Compared":[35],"to":[36,82,108,122],"these":[37],"methods,":[38],"Djuric's":[39],"asymptotic":[40],"MAP":[41],"rule":[42],"was":[43],"improvement,":[45],"this":[48,106],"paper,":[49],"we":[50,60,104,133],"extend":[51],"work":[53],"by":[54,85],"Djuric":[55],"several":[57],"ways.":[58],"Specifically,":[59],"consider":[61],"elicitation":[63],"of":[64,71,113,126,131,152,160],"proper":[65],"prior":[66],"distributions,":[67],"treat":[68],"case":[70],"real-":[72],"complex-valued":[74],"data":[75],"simultaneously":[76],"a":[78,94,110],"framework":[80,107],"similar":[81],"that":[83,136],"considered":[84],"Djuric,":[86],"develop":[88],"new":[89,111],"model":[90,96,139,156],"rules":[92,143],"for":[93],"regression":[95],"containing":[97],"both":[98,149],"linear":[99],"non-linear":[101],"parameters.":[102],"Moreover,":[103],"use":[105,130],"give":[109],"interpretation":[112],"popular":[115],"relate":[119],"performance":[121],"signal-to-noise":[124],"ratio":[125],"data.":[128,163],"By":[129],"simulations,":[132],"also":[134],"demonstrate":[135],"our":[137],"proposed":[138],"outperform":[144],"traditional":[146],"terms":[151,159],"detecting":[153],"true":[155],"predicting":[161],"unobserved":[162],"The":[164],"simulation":[165],"code":[166],"available":[168],"online.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
