{"id":"https://openalex.org/W2115865619","doi":"https://doi.org/10.1007/s10260-011-0168-x","title":"Sampling schemes for generalized linear Dirichlet process random effects models","display_name":"Sampling schemes for generalized linear Dirichlet process random effects models","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2115865619","doi":"https://doi.org/10.1007/s10260-011-0168-x","mag":"2115865619"},"language":"en","primary_location":{"id":"doi:10.1007/s10260-011-0168-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10260-011-0168-x","pdf_url":null,"source":{"id":"https://openalex.org/S155615518","display_name":"Statistical Methods & Applications","issn_l":"1613-981X","issn":["1613-981X","1618-2510"],"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":"Statistical Methods &amp; Applications","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/A5106028121","display_name":"Minjung Kyung","orcid":"https://orcid.org/0000-0002-6391-8156"},"institutions":[{"id":"https://openalex.org/I65832422","display_name":"Duksung Women's University","ror":"https://ror.org/01h6frr69","country_code":"KR","type":"education","lineage":["https://openalex.org/I65832422"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Minjung Kyung","raw_affiliation_strings":["Department of Statistics, Duksung Women\u2019s University, 19 Geunhwagyo-Gil, Dobong Gu, Seoul, 132-714, Korea","Department of Statistics, Duksung Women's University, 19 Geunhwagyo-Gil, Dobong Gu, Seoul, 132-714, Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Duksung Women\u2019s University, 19 Geunhwagyo-Gil, Dobong Gu, Seoul, 132-714, Korea","institution_ids":["https://openalex.org/I65832422"]},{"raw_affiliation_string":"Department of Statistics, Duksung Women's University, 19 Geunhwagyo-Gil, Dobong Gu, Seoul, 132-714, Korea","institution_ids":["https://openalex.org/I65832422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035606772","display_name":"Jeff Gill","orcid":"https://orcid.org/0000-0002-8592-8996"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeff Gill","raw_affiliation_strings":["Department of Biostatistics, Washington University, One Brookings Dr., Seigle Hall, St. Louis, MO, USA","Department of Political Science, Washington University, One Brookings Dr., Seigle Hall, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Washington University, One Brookings Dr., Seigle Hall, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Political Science, Washington University, One Brookings Dr., Seigle Hall, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080225575","display_name":"George Casella","orcid":"https://orcid.org/0000-0001-8154-8278"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"George Casella","raw_affiliation_strings":["Department of Statistics, University of Florida, Gainesville, FL, 32611, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Florida, Gainesville, FL, 32611, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035606772","https://openalex.org/A5080225575","https://openalex.org/A5106028121"],"corresponding_institution_ids":["https://openalex.org/I204465549","https://openalex.org/I33213144","https://openalex.org/I65832422"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":3.1061,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.92216731,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"3","first_page":"259","last_page":"290"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9907000064849854,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9805999994277954,"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/dirichlet-process","display_name":"Dirichlet process","score":0.7736890912055969},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6608877182006836},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.5616396069526672},{"id":"https://openalex.org/keywords/generalized-dirichlet-distribution","display_name":"Generalized Dirichlet distribution","score":0.5408497452735901},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5368860960006714},{"id":"https://openalex.org/keywords/hierarchical-dirichlet-process","display_name":"Hierarchical Dirichlet process","score":0.5268425345420837},{"id":"https://openalex.org/keywords/gibbs-sampling","display_name":"Gibbs sampling","score":0.4928913116455078},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4857981204986572},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4844543933868408},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.46035119891166687},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4327358603477478},{"id":"https://openalex.org/keywords/latent-dirichlet-allocation","display_name":"Latent Dirichlet allocation","score":0.41401198506355286},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.38861939311027527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38477805256843567},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3589198887348175},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3555648922920227},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3256053924560547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20640045404434204},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.20029941201210022},{"id":"https://openalex.org/keywords/topic-model","display_name":"Topic model","score":0.18278595805168152},{"id":"https://openalex.org/keywords/dirichlets-energy","display_name":"Dirichlet's energy","score":0.17061510682106018},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.12738588452339172}],"concepts":[{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.7736890912055969},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6608877182006836},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.5616396069526672},{"id":"https://openalex.org/C52290693","wikidata":"https://www.wikidata.org/wiki/Q5532435","display_name":"Generalized Dirichlet distribution","level":5,"score":0.5408497452735901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5368860960006714},{"id":"https://openalex.org/C141318989","wikidata":"https://www.wikidata.org/wiki/Q5753066","display_name":"Hierarchical Dirichlet process","level":4,"score":0.5268425345420837},{"id":"https://openalex.org/C158424031","wikidata":"https://www.wikidata.org/wiki/Q1191905","display_name":"Gibbs sampling","level":3,"score":0.4928913116455078},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4857981204986572},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4844543933868408},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.46035119891166687},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4327358603477478},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.41401198506355286},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.38861939311027527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38477805256843567},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3589198887348175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3555648922920227},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3256053924560547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20640045404434204},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.20029941201210022},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.18278595805168152},{"id":"https://openalex.org/C96234433","wikidata":"https://www.wikidata.org/wiki/Q5280760","display_name":"Dirichlet's energy","level":4,"score":0.17061510682106018},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12738588452339172},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C182310444","wikidata":"https://www.wikidata.org/wiki/Q1332643","display_name":"Boundary value problem","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10260-011-0168-x","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10260-011-0168-x","pdf_url":null,"source":{"id":"https://openalex.org/S155615518","display_name":"Statistical Methods & Applications","issn_l":"1613-981X","issn":["1613-981X","1618-2510"],"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":"Statistical Methods &amp; Applications","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:stmapp:v:20:y:2011:i:3:p:259-290","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s10260-011-0168-x","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":[{"score":0.8199999928474426,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W32980360","https://openalex.org/W45374770","https://openalex.org/W1490768654","https://openalex.org/W1528905581","https://openalex.org/W1565240145","https://openalex.org/W1584127072","https://openalex.org/W1963703587","https://openalex.org/W1967687583","https://openalex.org/W1970083323","https://openalex.org/W1970868013","https://openalex.org/W1985093013","https://openalex.org/W1998966727","https://openalex.org/W2009673841","https://openalex.org/W2013696827","https://openalex.org/W2014581807","https://openalex.org/W2017696952","https://openalex.org/W2020213096","https://openalex.org/W2020382082","https://openalex.org/W2036425588","https://openalex.org/W2056367065","https://openalex.org/W2058744494","https://openalex.org/W2062882942","https://openalex.org/W2065246942","https://openalex.org/W2065392216","https://openalex.org/W2067776296","https://openalex.org/W2069429561","https://openalex.org/W2072169887","https://openalex.org/W2076183121","https://openalex.org/W2080972498","https://openalex.org/W2091797506","https://openalex.org/W2108306139","https://openalex.org/W2128981260","https://openalex.org/W2135338737","https://openalex.org/W2142045810","https://openalex.org/W2150082128","https://openalex.org/W2151967501","https://openalex.org/W2152828142","https://openalex.org/W2158266063","https://openalex.org/W2166432594","https://openalex.org/W2242808935","https://openalex.org/W2415933964","https://openalex.org/W2507058334","https://openalex.org/W2797346366","https://openalex.org/W3037265734","https://openalex.org/W3104600419","https://openalex.org/W3123494711","https://openalex.org/W4230306435","https://openalex.org/W4235256018","https://openalex.org/W4237780050","https://openalex.org/W4244299038","https://openalex.org/W4244611409","https://openalex.org/W4245916018","https://openalex.org/W4254147434","https://openalex.org/W4256184924","https://openalex.org/W4285067809","https://openalex.org/W4292024691","https://openalex.org/W4292691288","https://openalex.org/W4301681175","https://openalex.org/W4301861531"],"related_works":["https://openalex.org/W2939843948","https://openalex.org/W4317733154","https://openalex.org/W4307318332","https://openalex.org/W2158266063","https://openalex.org/W2950322393","https://openalex.org/W2034315836","https://openalex.org/W1636225463","https://openalex.org/W2033996602","https://openalex.org/W2416695473","https://openalex.org/W114980831"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
