{"id":"https://openalex.org/W4396861905","doi":"https://doi.org/10.1007/s11222-024-10430-8","title":"Spike and slab Bayesian sparse principal component analysis","display_name":"Spike and slab Bayesian sparse principal component analysis","publication_year":2024,"publication_date":"2024-05-13","ids":{"openalex":"https://openalex.org/W4396861905","doi":"https://doi.org/10.1007/s11222-024-10430-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-024-10430-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-024-10430-8","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":["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/A5111194713","display_name":"Yu-Chien Bo Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Chien Bo Ning","raw_affiliation_strings":["Department of Epidemiology, Harvard T. H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Harvard T. H. Chan School of Public Health, 677 Huntington Ave, Boston, MA, 02115, USA","institution_ids":["https://openalex.org/I136199984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100749760","display_name":"Ning Ning","orcid":"https://orcid.org/0000-0002-8950-1279"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ning Ning","raw_affiliation_strings":["Department of Statistics, Texas A &M University, College Station, TX, 77843, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Texas A &M University, College Station, TX, 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100749760"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":3.6822,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92785996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"34","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.995199978351593,"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":0.9919000267982483,"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":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8063452243804932},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.758994460105896},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6123934388160706},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5463405847549438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5327102541923523},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5022261142730713},{"id":"https://openalex.org/keywords/slab","display_name":"Slab","score":0.44680842757225037},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43561217188835144},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.41519036889076233},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40738797187805176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3561689257621765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33269691467285156},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12394797801971436},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10828843712806702},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.07494446635246277}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8063452243804932},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.758994460105896},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6123934388160706},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5463405847549438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5327102541923523},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5022261142730713},{"id":"https://openalex.org/C113740112","wikidata":"https://www.wikidata.org/wiki/Q5904738","display_name":"Slab","level":2,"score":0.44680842757225037},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43561217188835144},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.41519036889076233},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40738797187805176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3561689257621765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33269691467285156},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12394797801971436},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10828843712806702},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.07494446635246277},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11222-024-10430-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-024-10430-8","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/17"}],"awards":[{"id":"https://openalex.org/G5618387744","display_name":null,"funder_award_id":"XRP 80NSSC18K0443","funder_id":"https://openalex.org/F4320306101","funder_display_name":"National Aeronautics and Space Administration"}],"funders":[{"id":"https://openalex.org/F4320306101","display_name":"National Aeronautics and Space Administration","ror":"https://ror.org/027ka1x80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1418475881","https://openalex.org/W1483883706","https://openalex.org/W1711911837","https://openalex.org/W1975900269","https://openalex.org/W1991108537","https://openalex.org/W2049633694","https://openalex.org/W2051623559","https://openalex.org/W2053675401","https://openalex.org/W2054736796","https://openalex.org/W2055025635","https://openalex.org/W2066358593","https://openalex.org/W2071422022","https://openalex.org/W2091276705","https://openalex.org/W2097714737","https://openalex.org/W2138019504","https://openalex.org/W2147426468","https://openalex.org/W2225156818","https://openalex.org/W2260411861","https://openalex.org/W2375894707","https://openalex.org/W2514253892","https://openalex.org/W2566065221","https://openalex.org/W2612481336","https://openalex.org/W2734454107","https://openalex.org/W2788365376","https://openalex.org/W2795757876","https://openalex.org/W2883439616","https://openalex.org/W2889359554","https://openalex.org/W2902033621","https://openalex.org/W2903846987","https://openalex.org/W2938262174","https://openalex.org/W2964210005","https://openalex.org/W2990592529","https://openalex.org/W2993022577","https://openalex.org/W3017915815","https://openalex.org/W3018141825","https://openalex.org/W3029292097","https://openalex.org/W3049347563","https://openalex.org/W3083499868","https://openalex.org/W3086790268","https://openalex.org/W3087615165","https://openalex.org/W3100384983","https://openalex.org/W3101584830","https://openalex.org/W3101816981","https://openalex.org/W3103712593","https://openalex.org/W3103757612","https://openalex.org/W3104393726","https://openalex.org/W3105129039","https://openalex.org/W3112375583","https://openalex.org/W3125452207","https://openalex.org/W3126085589","https://openalex.org/W4205508580","https://openalex.org/W4380052707","https://openalex.org/W4396915675","https://openalex.org/W6600605178","https://openalex.org/W6610564236"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W3081214562","https://openalex.org/W4310268968","https://openalex.org/W2950975704","https://openalex.org/W4297815943","https://openalex.org/W2053745677"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-01-20T23:28:44.954186","created_date":"2025-10-10T00:00:00"}