{"id":"https://openalex.org/W2342587834","doi":"https://doi.org/10.1080/03610918.2015.1078473","title":"On several estimates to the precision parameter of Dirichlet process prior","display_name":"On several estimates to the precision parameter of Dirichlet process prior","publication_year":2015,"publication_date":"2015-10-16","ids":{"openalex":"https://openalex.org/W2342587834","doi":"https://doi.org/10.1080/03610918.2015.1078473","mag":"2342587834"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1078473","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1078473","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5056633513","display_name":"Xueqin Zhou","orcid":"https://orcid.org/0000-0002-0182-1439"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqin Zhou","raw_affiliation_strings":["School of Finance and Statistics, East China Normal University, Shanghai, China\u00a0(P.R.)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Finance and Statistics, East China Normal University, Shanghai, China\u00a0(P.R.)","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100815367","display_name":"Lei Yang","orcid":"https://orcid.org/0009-0008-0586-5608"},"institutions":[{"id":"https://openalex.org/I4210119458","display_name":"Roche (China)","ror":"https://ror.org/02hv5e369","country_code":"CN","type":"company","lineage":["https://openalex.org/I118019719","https://openalex.org/I4210119458"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Yang","raw_affiliation_strings":["Roche (China) Holding Ltd., Shanghai, China\u00a0(P.R.)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Roche (China) Holding Ltd., Shanghai, China\u00a0(P.R.)","institution_ids":["https://openalex.org/I4210119458"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100761151","display_name":"Xianyi Wu","orcid":"https://orcid.org/0000-0002-7403-8330"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianyi Wu","raw_affiliation_strings":["School of Finance and Statistics, East China Normal University, Shanghai, China\u00a0(P.R.)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Finance and Statistics, East China Normal University, Shanghai, China\u00a0(P.R.)","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100815367"],"corresponding_institution_ids":["https://openalex.org/I4210119458"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.10860995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"46","issue":"4","first_page":"3187","last_page":"3200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9995999932289124,"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":0.9995999932289124,"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":0.996999979019165,"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/T12056","display_name":"Markov Chains and Monte Carlo Methods","score":0.9890999794006348,"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":0.69325190782547},{"id":"https://openalex.org/keywords/dirichlet-distribution","display_name":"Dirichlet distribution","score":0.6193361282348633},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5575968623161316},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5329243540763855},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5193653702735901},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5154889225959778},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.5094965100288391},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.49747565388679504},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4541376233100891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4031163454055786},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.38291117548942566},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3599804639816284},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.1896924078464508}],"concepts":[{"id":"https://openalex.org/C2781280628","wikidata":"https://www.wikidata.org/wiki/Q5280766","display_name":"Dirichlet process","level":3,"score":0.69325190782547},{"id":"https://openalex.org/C169214877","wikidata":"https://www.wikidata.org/wiki/Q981016","display_name":"Dirichlet distribution","level":3,"score":0.6193361282348633},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5575968623161316},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5329243540763855},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5193653702735901},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5154889225959778},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.5094965100288391},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.49747565388679504},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4541376233100891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4031163454055786},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38291117548942566},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3599804639816284},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.1896924078464508},{"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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1078473","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1078473","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W565273688","https://openalex.org/W591230892","https://openalex.org/W1494853941","https://openalex.org/W1590636096","https://openalex.org/W1979663020","https://openalex.org/W1983607152","https://openalex.org/W1996908194","https://openalex.org/W2001272401","https://openalex.org/W2019087634","https://openalex.org/W2020213096","https://openalex.org/W2050893329","https://openalex.org/W2067776296","https://openalex.org/W2069429561","https://openalex.org/W2076773771","https://openalex.org/W2079819958","https://openalex.org/W2089484716","https://openalex.org/W2125425818","https://openalex.org/W2151967501","https://openalex.org/W2170192224","https://openalex.org/W2326189126","https://openalex.org/W2479390720","https://openalex.org/W3120537494"],"related_works":["https://openalex.org/W1902157726","https://openalex.org/W2393894849","https://openalex.org/W2172796364","https://openalex.org/W197558907","https://openalex.org/W3122449418","https://openalex.org/W3190171609","https://openalex.org/W3121467232","https://openalex.org/W153004028","https://openalex.org/W2069429561","https://openalex.org/W2027714503"],"abstract_inverted_index":{"The":[0,54],"article":[1],"presents":[2],"careful":[3],"comparisons":[4,105],"among":[5,106],"several":[6],"empirical":[7],"Bayes":[8],"estimates":[9,68,91],"to":[10,130],"the":[11,19,28,39,59,62,72,77,110,123],"precision":[12,55],"parameter":[13,56],"of":[14,21,61,67,74,88,112],"Dirichlet":[15,45],"process":[16,46],"prior,":[17],"with":[18,32],"setup":[20],"univariate":[22],"observations":[23],"and":[24,65,84,101,115,127],"multigroup":[25],"data.":[26],"Specifically,":[27],"data":[29],"are":[30,69],"equipped":[31],"a":[33,44,50],"two-stage":[34],"compound":[35],"sampling":[36],"model,":[37],"where":[38],"prior":[40,63],"is":[41],"assumed":[42],"as":[43],"that":[47],"follows":[48],"within":[49],"Bayesian":[51],"nonparametric":[52],"framework.":[53],"\u03b1":[57],"measures":[58],"strength":[60],"belief":[64],"kinds":[66],"generated":[70],"on":[71],"basis":[73],"observations,":[75],"including":[76],"naive":[78,82],"estimate,":[79],"two":[80,85],"calibrated":[81],"estimates,":[83,108],"different":[86],"types":[87],"maximum":[89],"likelihood":[90],"stemming":[92],"from":[93],"distinct":[94],"distributions.":[95],"We":[96],"explore":[97],"some":[98],"theoretical":[99,133],"properties":[100],"provide":[102],"explicitly":[103],"detailed":[104],"these":[107],"in":[109],"perspectives":[111],"bias,":[113],"variance,":[114],"mean":[116],"squared":[117],"error.":[118],"Besides,":[119],"we":[120],"further":[121],"present":[122],"corresponding":[124],"calculation":[125],"algorithms":[126],"numerical":[128],"simulations":[129],"illustrate":[131],"our":[132],"achievements.":[134]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
