{"id":"https://openalex.org/W2117101570","doi":"https://doi.org/10.1007/s11222-011-9285-5","title":"An empirical Bayes procedure for the selection of Gaussian graphical models","display_name":"An empirical Bayes procedure for the selection of Gaussian graphical models","publication_year":2011,"publication_date":"2011-09-14","ids":{"openalex":"https://openalex.org/W2117101570","doi":"https://doi.org/10.1007/s11222-011-9285-5","mag":"2117101570"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-011-9285-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-011-9285-5","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1003.5851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075882092","display_name":"Sophie Donnet","orcid":"https://orcid.org/0000-0003-4370-7316"},"institutions":[{"id":"https://openalex.org/I56435720","display_name":"Universit\u00e9 Paris Dauphine-PSL","ror":"https://ror.org/052bz7812","country_code":"FR","type":"education","lineage":["https://openalex.org/I2746051580","https://openalex.org/I56435720"]},{"id":"https://openalex.org/I171048554","display_name":"Centre de Recherche en Math\u00e9matiques de la D\u00e9cision","ror":"https://ror.org/03s0gj002","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I171048554","https://openalex.org/I2746051580","https://openalex.org/I4210141950","https://openalex.org/I56435720"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Sophie Donnet","raw_affiliation_strings":["CEREMADE, Universit\u00e9 Paris Dauphine, Paris, France","Ceremade, Universit\u00e9 Paris Dauphine, Paris, France"],"affiliations":[{"raw_affiliation_string":"CEREMADE, Universit\u00e9 Paris Dauphine, Paris, France","institution_ids":["https://openalex.org/I56435720","https://openalex.org/I171048554"]},{"raw_affiliation_string":"Ceremade, Universit\u00e9 Paris Dauphine, Paris, France","institution_ids":["https://openalex.org/I56435720"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033156491","display_name":"Jean\u2010Michel Marin","orcid":"https://orcid.org/0000-0001-7451-9719"},"institutions":[{"id":"https://openalex.org/I19894307","display_name":"Universit\u00e9 de Montpellier","ror":"https://ror.org/051escj72","country_code":"FR","type":"education","lineage":["https://openalex.org/I19894307"]},{"id":"https://openalex.org/I4210142014","display_name":"Institut Montpelli\u00e9rain Alexander Grothendieck","ror":"https://ror.org/044kxby82","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I19894307","https://openalex.org/I4210141950","https://openalex.org/I4210142014"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Michel Marin","raw_affiliation_strings":["Institut de Math\u00e9matiques et Mod\u00e9lisation de Montpellier, Universit\u00e9 Montpellier 2, place Eug\u00e8ne Bataillon, Case Courrier 051, 34095, Montpellier cedex 5, France","Institut de Math\u00e9matiques et Mod\u00e9lisation de Montpellier, Universit\u00e9 Montpellier 2, Montpellier cedex 5, France 34095"],"affiliations":[{"raw_affiliation_string":"Institut de Math\u00e9matiques et Mod\u00e9lisation de Montpellier, Universit\u00e9 Montpellier 2, place Eug\u00e8ne Bataillon, Case Courrier 051, 34095, Montpellier cedex 5, France","institution_ids":["https://openalex.org/I19894307","https://openalex.org/I4210142014"]},{"raw_affiliation_string":"Institut de Math\u00e9matiques et Mod\u00e9lisation de Montpellier, Universit\u00e9 Montpellier 2, Montpellier cedex 5, France 34095","institution_ids":["https://openalex.org/I4210142014","https://openalex.org/I19894307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5075882092"],"corresponding_institution_ids":["https://openalex.org/I171048554","https://openalex.org/I56435720"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":1.7749,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87494319,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"22","issue":"5","first_page":"1113","last_page":"1123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9975000023841858,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9975000023841858,"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":0.9929999709129333,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9779999852180481,"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/wishart-distribution","display_name":"Wishart distribution","score":0.702303409576416},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.6209475994110107},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6122643947601318},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5174666047096252},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4784524440765381},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.47053226828575134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45189806818962097},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43249404430389404},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4284316599369049},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4252352714538574},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4140256345272064},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4099980294704437},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.40480223298072815},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.39177924394607544},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3858715295791626},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.20495864748954773}],"concepts":[{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.702303409576416},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.6209475994110107},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6122643947601318},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5174666047096252},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4784524440765381},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.47053226828575134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45189806818962097},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43249404430389404},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4284316599369049},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4252352714538574},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4140256345272064},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4099980294704437},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.40480223298072815},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.39177924394607544},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3858715295791626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.20495864748954773},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-011-9285-5","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-011-9285-5","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1003.5851","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1003.5851","pdf_url":"https://arxiv.org/pdf/1003.5851","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"pmh:oai:HAL:hal-00658539v1","is_oa":false,"landing_page_url":"https://hal.science/hal-00658539","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Statistics and Computing, 2011, 22 (5), pp.1113-1123. &#x27E8;10.1007/s11222-011-9285-5&#x27E9;","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1003.5851","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1003.5851","pdf_url":"https://arxiv.org/pdf/1003.5851","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320309940","display_name":"Society for Academic Emergency Medicine","ror":"https://ror.org/02882ey95"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1596437242","https://openalex.org/W1983607152","https://openalex.org/W1989885743","https://openalex.org/W2000812844","https://openalex.org/W2008561984","https://openalex.org/W2012328630","https://openalex.org/W2013116218","https://openalex.org/W2017398724","https://openalex.org/W2019963883","https://openalex.org/W2026097090","https://openalex.org/W2049633694","https://openalex.org/W2051264056","https://openalex.org/W2055742299","https://openalex.org/W2057331565","https://openalex.org/W2061461017","https://openalex.org/W2063168839","https://openalex.org/W2063698062","https://openalex.org/W2072857774","https://openalex.org/W2073837511","https://openalex.org/W2076065380","https://openalex.org/W2088088467","https://openalex.org/W2095067466","https://openalex.org/W2097054834","https://openalex.org/W2111051773","https://openalex.org/W2117853077","https://openalex.org/W2135459617","https://openalex.org/W2162888823","https://openalex.org/W2167826316","https://openalex.org/W2498094064","https://openalex.org/W2510002191","https://openalex.org/W3106284700","https://openalex.org/W3125350326","https://openalex.org/W4238253035","https://openalex.org/W4388319900","https://openalex.org/W4388323202"],"related_works":["https://openalex.org/W2086376786","https://openalex.org/W2964314781","https://openalex.org/W3006565005","https://openalex.org/W4287868071","https://openalex.org/W4389708677","https://openalex.org/W2611832276","https://openalex.org/W69468016","https://openalex.org/W2007093222","https://openalex.org/W3124172274","https://openalex.org/W2145178290"],"abstract_inverted_index":null,"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
