{“id”:“https://openalex.org/W2003210332“,”doi“:”https://doi.org/10.1515/mcma.2002.8.4.395“,”title“:”使用MCMC和ICM进行贝叶斯源分离的联合分布平均值和混合系数“,”display_name“:”用MCMC和IMC进行贝叶斯源分离的混合系数和联合分布平均数“,”publication_year“:2002,”publiation_date“:”2002-01-01“,”ids“:{”openalex“:”https://openalex.org/W2003210332“,”doi“:”https://doi.org/10.1515/mcma.2002.8.4.395“,”mag“:”2003210332“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1515/mcma.2002.8.4.395“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S142132501“,”display_name“:”蒙特卡罗方法和应用程序“,”issn_l“:”0929-9629“,”issn“:[”0929-9629“,”1569-3961“],”is_oa“:false,”is_in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310313990“,”“host_organization_name”:“De Gruyter”,“host_organization_lineage”:[“https://openalex.org/P4310313990“],”host_organization_lineage_names“:[”De Gruyter“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”article“,”type_crossref“:“jornal-article”,“indexed_in”:[”crossref“],pository_has_fulltext“:false},”authorships“:[{”author_position“:”first“,”author“:{”id“:”https://openalex.org/A504421884“,”display_name“:”Daniel B.Rowe“,”orcid“:”https://orcid.org/0000-0002-1536-5884“},”机构“:[],”国家“:[[],”is_corresponding“:true,”raw_author_name“:”Daniel B.Rowe“,”raw_affiliation_strings“:[],“affiliations”:[]}],“institution_assertions”:[]],“countries_distiction_count”:0,“institiations_disticent_count“:0,”corresponding_author_ids“:[”https://openalex.org/A504421884“],”corresponding_institution_ids“:[],”apc_list“:null,”apc _payed“:nully,”fwci“:0.0,”has_fulltext“:true,”fulltext_origin“:”ngrams“,”cited_by_count“:3,”citation_normalized_percentile“:{”value“:0.611072,”is_in_top_1_percent“:false,”is_ in_top_10_percennt“:false},”cited_by_percentile_year“:{”min“:69,”max“:71},“biblio”:{“volume”:“8”,“issue”:“4”,“first_page“:null,”last_page“:null},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T11447“,”“display_name”:“盲源分离与独立分量分析”,“score”:0.9994,“subfield”:{“id”:“https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T11447“,”“display_name”:“盲源分离与独立分量分析”,“score”:0.9994,“subfield”:{“id”:“https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11698“,”“display_name”:“多尺度海底制图和分类技术”,“score”:0.9956,“subfield”:{“id”:“https://openalex.org/subfields/1910“,”display_name“:”Oceanography“},”field“:{”id“:”https://openalex.org/fields/19“,”display_name“:”地球与行星科学“},”域“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10860“,”display_name“:”语音增强技术“,”score“:0.9866,”subfield“:{”id“:”https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/关键字/分离“,”display_name“:”分隔(统计)“,”score“:0.6208106},{”id“:”https://openalex.org/keywords/source-seapation(https://openalex.org/keywords/source-seapation)“,”display_name“:”源分离“,”score“:0.549699}],”concepts“:[{”id“:”https://openalex.org/C11350023,“wikidata”:https://www.wikidata.org/wiki/Q1191869“,”display_name“:”Markov chain Monte Carlo“,”level“:3,”score“:0.72456205},{”id“:”https://openalex.org/C138777275,“wikidata”:https://www.wikidata.org/wiki/Q6884054“,”display_name“:”Mixing(physical)“,”level“:2,”score“:0.6429804},{”id“:”https://openalex.org/C2776061190,“wikidata”:https://www.wikidata.org/wiki/Q7451805“,”display_name“:”分隔(统计)“,”level“:2,”score“:0.6208106},{”id“:”https://openalex.org/C107673813,“wikidata”:https://www.wikidata.org/wiki/Q812534(网址:https://www.wikidata.org/wiki/Q812534)“,”display_name“:”贝叶斯概率“,”level“:2,”score“:0.6134532},{”id“:”https://openalex.org/C105795698,“wikidata”:https://www.wikidata.org/wiki/Q12483“,”display_name“:”Statistics“,”level“:1,”score“:0.43194476},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.40135208},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.37622914},{”id“:”https://openalex.org/C121864883,“wikidata”:https://www.wikidata.org/wiki/Q677916“,”display_name“:”统计物理“,”level“:1,”score“:0.34628588},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”物理“,”等级“:0,”分数“:0.15562707},{”id“:”https://openalex.org/C62520636,“wikidata”:https://www.wikidata.org/wiki/Q944“,”display_name“:”量子力学“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1515/mcma.2002.8.4.395“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S142132501“,”display_name“:”蒙特卡罗方法和应用程序“,”issn_l“:”0929-9629“,”issn“:[”0929-9629“,”1569-3961“],”is_oa“:false,”is_in_doaj“:false,”is_core“:true,”host_organization“:”https://openalex.org/P4310313990“,”“host_organization_name”:“De Gruyter”,“host_organization_lineage”:[“https://openalex.org/P4310313990“],”host_organization_lineage_names“:[”De Gruyter“],“type”:“journal”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:[],“datasets”:【】,“versions”:[】,“referenced_works_count”:12,“referrenced_works”:https://openalex.org/W128740895","https://openalex.org/W1612614864","https://openalex.org/W2000500294","https://openalex.org/W2020999234","https://openalex.org/W2028462728","https://openalex.org/W2038826500","https://openalex.org/W2083875149","https://openalex.org/W2087210123","https://openalex.org/W2162165657","https://openalex.org/W2329024290","https://openalex.org/W2797772566","https://openalex.org/W3101375842“],”related_works“:[”https://openalex.org/W4283726152","https://openalex.org/W3093571331","https://openalex.org/W3087071515","https://openalex.org/W2806680938","https://openalex.org/W2380816257","https://openalex.org/W2151689585","https://openalex.org/W2071676784","https://openalex.org/W1981914504","https://openalex.org/W1546022168","https://openalex.org/W1485888979网址“],”abstract_inverted_index“:{”Recent“:[0],”source“:[1,24],”separation“:[2,25],”work“:[3,42,69],”has“:[4],”described“:[5],”a“:[6,10144156165],”model“:[7123],”which“:[8,48],”assemptions“:[9],”nonzero“:[11],”overall“:[12,36,55,77],”mean“:[13,37,56,78162],”and“:[14,46]79109131150163],“合并”:[15],“优先”:[16,46,51,73,87,90,94],“知识“:[17,52,91],”关于“:[18,53,75],”它。“:[19],”这“:[20,89],”是“:[21,38,97],”重要“:[22],”因为“:[23],”模型“:[26],”那“:[27,34,44],”有“:[28,32],”以前的“:[29],“已经”:[30],“呈现”:[31],“假定”:[33],“the”:[35,45,54,60,76,83,93100104119 122125137151],“零。“:[39],”“然而,”:[40],“this”:[41,68],“specified”:[43],“distribution”:[47128139],“quantities”:[49],“available”:[50,72],“be”:[57],“independent”:[58],“of”:[59,85121]],“by”:[70],“quantifing”:[71],“information”:[74],“matrix”:[81],“带有“:[82103],“use”:[84],“joint”:[86126],“distributions”。“:[88],”in“:[92],”distribut-“:[95],”butions“:[96],”incorporated“:[98],”into“:[99],”references“:[101],”along“:[102],”data。“:[106],”共轭“:[107],”正规“:[108],”广义“:[110],”共轭“:[111],”正常“:[112],”分布“:[113],”是“:[114129133],”使用。“:[115],”算法“:[116],”for“:[117160],”estimating“:[118],”parameters“:[120],”from“:[124136],”posteral“:[127138166],”derived“:[130],”these“:[132],”determined“:[134],”statistical“:[135],”using“:[140],”both“:[141],”Gibbs“:%142],”sampling“:[143],”Markov“:[145],”chain“:[146],”Monte“:[147],”Carlo“:[148],”方法“:[149],”迭代“:[152],”条件“:[153],”模式“:[154],”算法“:[155],”确定性“:[157],”优化“:[158],”技术“:[159],”边际“:[161],”最大“:[164],”估计“:[167],”。“:[168]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W2003210332“,”counts_by_year“:[{”年份“:2016,”cited_by_count“:1},{”年“:2015,”cited_by_count”:1}],”更新日期“:”2024-09-15T11:45:59.998232“,”created_date“:”2016-06-24“}