{"id":"https://openalex.org/W2065594113","doi":"https://doi.org/10.1016/s0167-9473(03)00066-5","title":"Bayesian method for learning graphical models with incompletely categorical data","display_name":"Bayesian method for learning graphical models with incompletely categorical data","publication_year":2003,"publication_date":"2003-04-24","ids":{"openalex":"https://openalex.org/W2065594113","doi":"https://doi.org/10.1016/s0167-9473(03)00066-5","mag":"2065594113"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-9473(03)00066-5","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(03)00066-5","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","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/A5036930901","display_name":"Zhi Geng","orcid":"https://orcid.org/0000-0003-1798-4475"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhi Geng","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110126853","display_name":"Yang-Bo He","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang-Bo He","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101412010","display_name":"Xueli Wang","orcid":"https://orcid.org/0000-0003-1921-4968"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue-Li Wang","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101651760","display_name":"Qiang Zhao","orcid":"https://orcid.org/0000-0003-1318-039X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhao","raw_affiliation_strings":["School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Peking University, Hai Dian, Beijing 100871, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036930901"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.12091298,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"44","issue":"1-2","first_page":"175","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9998000264167786,"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":0.9998000264167786,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9269000291824341,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9154999852180481,"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/categorical-variable","display_name":"Categorical variable","score":0.8258599638938904},{"id":"https://openalex.org/keywords/graphical-model","display_name":"Graphical model","score":0.8010500073432922},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5807925462722778},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5659857392311096},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49175265431404114},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.4619365930557251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4616135358810425},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.4161333441734314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3845006227493286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3796570897102356},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3006381392478943}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8258599638938904},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.8010500073432922},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5807925462722778},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5659857392311096},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49175265431404114},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.4619365930557251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4616135358810425},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.4161333441734314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3845006227493286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3796570897102356},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3006381392478943},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/s0167-9473(03)00066-5","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(03)00066-5","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics &amp; Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:eee:csdana:v:44:y:2003:i:1-2:p:175-192","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(03)00066-5","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":[{"display_name":"Quality Education","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1513861746","https://openalex.org/W1517993545","https://openalex.org/W1593793857","https://openalex.org/W1989926363","https://openalex.org/W2015010053","https://openalex.org/W2019963883","https://openalex.org/W2034109855","https://openalex.org/W2061130752","https://openalex.org/W2069469807","https://openalex.org/W2070013518","https://openalex.org/W2086955327","https://openalex.org/W2134115626","https://openalex.org/W2139624437","https://openalex.org/W2170112109","https://openalex.org/W2331182131","https://openalex.org/W4242120417","https://openalex.org/W4243788933","https://openalex.org/W4253631098","https://openalex.org/W6858014269"],"related_works":["https://openalex.org/W2952715870","https://openalex.org/W1727198190","https://openalex.org/W4297826693","https://openalex.org/W4226115828","https://openalex.org/W2963071676","https://openalex.org/W1529069387","https://openalex.org/W2078267893","https://openalex.org/W88131178","https://openalex.org/W3033856829","https://openalex.org/W3192946336"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
