{"id":"https://openalex.org/W2465511957","doi":"https://doi.org/10.1007/s00180-016-0665-3","title":"Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis","display_name":"Bayesian variable selection with sparse and correlation priors for high-dimensional data analysis","publication_year":2016,"publication_date":"2016-06-06","ids":{"openalex":"https://openalex.org/W2465511957","doi":"https://doi.org/10.1007/s00180-016-0665-3","mag":"2465511957"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-016-0665-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-016-0665-3","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5031142835","display_name":"Aijun Yang","orcid":"https://orcid.org/0000-0002-9166-4421"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]},{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aijun Yang","raw_affiliation_strings":["College of Economics and Management, Nanjing Forestry University, Nanjing, China","School of Economics and Management, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics and Management, Nanjing Forestry University, Nanjing, China","institution_ids":["https://openalex.org/I167027274"]},{"raw_affiliation_string":"School of Economics and Management, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088187019","display_name":"Xuejun Jiang","orcid":"https://orcid.org/0000-0001-8966-8864"},"institutions":[{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuejun Jiang","raw_affiliation_strings":["Department of Mathematics, South University of Science and Technology of China, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, South University of Science and Technology of China, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076373662","display_name":"Lianjie Shu","orcid":"https://orcid.org/0000-0001-6860-698X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Lianjie Shu","raw_affiliation_strings":["Faculty of Business Administration, University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Business Administration, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014734789","display_name":"Jin\u2010Guan Lin","orcid":"https://orcid.org/0000-0002-2304-1177"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinguan Lin","raw_affiliation_strings":["Department of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088187019"],"corresponding_institution_ids":["https://openalex.org/I3045169105"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":2.208,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90719962,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"32","issue":"1","first_page":"127","last_page":"143"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.7482340931892395},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5949576497077942},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5336789488792419},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4646297097206116},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4603888690471649},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4187777042388916},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4109898805618286},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3969823718070984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3735615611076355},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.356350839138031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3297225534915924}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.7482340931892395},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5949576497077942},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5336789488792419},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4646297097206116},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4603888690471649},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4187777042388916},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4109898805618286},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3969823718070984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3735615611076355},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.356350839138031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3297225534915924},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-016-0665-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-016-0665-3","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:32:y:2017:i:1:d:10.1007_s00180-016-0665-3","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00180-016-0665-3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2025454889","display_name":null,"funder_award_id":"11101432","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2197740258","display_name":null,"funder_award_id":"11501294","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5233710643","display_name":"\u4e00\u7c7b\u7ecf\u6d4e\u8ba1\u91cf\u6a21\u578b\u7684\u7edf\u8ba1\u5206\u6790\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"11571073","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W109881820","https://openalex.org/W625867593","https://openalex.org/W1480376833","https://openalex.org/W1544099925","https://openalex.org/W1749992802","https://openalex.org/W1966701961","https://openalex.org/W1969415786","https://openalex.org/W1982652137","https://openalex.org/W1986825443","https://openalex.org/W1996977322","https://openalex.org/W1999974018","https://openalex.org/W2007069447","https://openalex.org/W2008233728","https://openalex.org/W2010111480","https://openalex.org/W2012551717","https://openalex.org/W2020999234","https://openalex.org/W2030634012","https://openalex.org/W2031644101","https://openalex.org/W2036183522","https://openalex.org/W2038574031","https://openalex.org/W2042204462","https://openalex.org/W2048971218","https://openalex.org/W2049228615","https://openalex.org/W2049936270","https://openalex.org/W2056324615","https://openalex.org/W2058800151","https://openalex.org/W2067632490","https://openalex.org/W2081396765","https://openalex.org/W2094789795","https://openalex.org/W2100322632","https://openalex.org/W2108306139","https://openalex.org/W2109363337","https://openalex.org/W2117135012","https://openalex.org/W2117825844","https://openalex.org/W2125056473","https://openalex.org/W2126815340","https://openalex.org/W2130416410","https://openalex.org/W2142905939","https://openalex.org/W2143426320","https://openalex.org/W2149954962","https://openalex.org/W2152828142","https://openalex.org/W2155706105","https://openalex.org/W2156332695","https://openalex.org/W2160615053","https://openalex.org/W2161148924","https://openalex.org/W2161828876","https://openalex.org/W2168117806","https://openalex.org/W2437356612","https://openalex.org/W2963108610","https://openalex.org/W3104322926","https://openalex.org/W4302569104"],"related_works":["https://openalex.org/W4307883119","https://openalex.org/W2345184372","https://openalex.org/W27971500","https://openalex.org/W2316780152","https://openalex.org/W2592385986","https://openalex.org/W2475237729","https://openalex.org/W2314710578","https://openalex.org/W2022684485","https://openalex.org/W2946393483","https://openalex.org/W3185455591"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}
