{"id":"https://openalex.org/W4406125018","doi":"https://doi.org/10.1049/sil2/4762771","title":"Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion","display_name":"Bayesian Robust Tensor Decomposition Based on MCMC Algorithm for Traffic Data Completion","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406125018","doi":"https://doi.org/10.1049/sil2/4762771"},"language":"en","primary_location":{"id":"doi:10.1049/sil2/4762771","is_oa":true,"landing_page_url":"https://doi.org/10.1049/sil2/4762771","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/4762771","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/4762771","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102377579","display_name":"Longsheng Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longsheng Huang","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn"],"raw_orcid":"https://orcid.org/0009-0000-4324-1160","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]},{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108457576","display_name":"Yu Zhu","orcid":"https://orcid.org/0009-0005-1533-1579"},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn"],"raw_orcid":"https://orcid.org/0009-0005-1533-1579","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]},{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yu Zhu","orcid":"https://orcid.org/0009-0005-1533-1579"},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zhu","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn"],"raw_orcid":"https://orcid.org/0009-0005-1533-1579","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]},{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031400632","display_name":"Hanzeng Shao","orcid":"https://orcid.org/0009-0002-4157-4994"},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanzeng Shao","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn"],"raw_orcid":"https://orcid.org/0009-0002-4157-4994","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]},{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lei Tang","orcid":"https://orcid.org/0009-0004-6355-9298"},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Tang","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn"],"raw_orcid":"https://orcid.org/0009-0004-6355-9298","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]},{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China ,  gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112108272","display_name":"Yun Zhu","orcid":"https://orcid.org/0009-0008-4616-3039"},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]},{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Zhu","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","School of Science ,  Hangzhou Dianzi University ,  Hangzhou ,  310018 ,  Zhejiang ,  China ,  hdu.edu.cn"],"raw_orcid":"https://orcid.org/0009-0008-4616-3039","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]},{"raw_affiliation_string":"School of Science ,  Hangzhou Dianzi University ,  Hangzhou ,  310018 ,  Zhejiang ,  China ,  hdu.edu.cn","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112108272","display_name":"Yun Zhu","orcid":"https://orcid.org/0009-0008-4616-3039"},"institutions":[{"id":"https://openalex.org/I4210119042","display_name":"Gannan Normal University","ror":"https://ror.org/02jf7e446","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210119042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Zhu","raw_affiliation_strings":["School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn"],"raw_orcid":"https://orcid.org/0009-0008-4616-3039","affiliations":[{"raw_affiliation_string":"School of Physics and Electronic Information ,  Gannan Normal University ,  Ganzhou ,  341000 ,  Jiangxi ,  China , gnnu.cn","institution_ids":["https://openalex.org/I4210119042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005662290","display_name":"Gaohang Yu","orcid":"https://orcid.org/0000-0002-1546-3951"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaohang Yu","raw_affiliation_strings":["School of Science ,  Hangzhou Dianzi University ,  Hangzhou ,  310018 ,  Zhejiang ,  China , hdu.edu.cn"],"raw_orcid":"https://orcid.org/0000-0002-1546-3951","affiliations":[{"raw_affiliation_string":"School of Science ,  Hangzhou Dianzi University ,  Hangzhou ,  310018 ,  Zhejiang ,  China , hdu.edu.cn","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5112108272"],"corresponding_institution_ids":["https://openalex.org/I4210119042"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":0.7888,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.59728507,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"2025","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T12303","display_name":"Tensor decomposition and applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"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/T11304","display_name":"Advanced Neuroimaging Techniques and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9735000133514404,"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/computer-science","display_name":"Computer science","score":0.634850025177002},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"Tensor decomposition","score":0.5910553932189941},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5887226462364197},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5769879817962646},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5199995636940002},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4756574034690857},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4112856686115265},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.39249828457832336},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25801825523376465}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.634850025177002},{"id":"https://openalex.org/C2986737658","wikidata":"https://www.wikidata.org/wiki/Q30103009","display_name":"Tensor decomposition","level":3,"score":0.5910553932189941},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5887226462364197},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5769879817962646},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5199995636940002},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4756574034690857},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4112856686115265},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.39249828457832336},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25801825523376465},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1049/sil2/4762771","is_oa":true,"landing_page_url":"https://doi.org/10.1049/sil2/4762771","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/4762771","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:03520eb0994e418e9f54e44fb66a2f19","is_oa":true,"landing_page_url":"https://doaj.org/article/03520eb0994e418e9f54e44fb66a2f19","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IET Signal Processing, Vol 2025 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1049/sil2/4762771","is_oa":true,"landing_page_url":"https://doi.org/10.1049/sil2/4762771","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/sil2/4762771","source":{"id":"https://openalex.org/S30889260","display_name":"IET Signal Processing","issn_l":"1751-9675","issn":["1751-9675","1751-9683"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311714","host_organization_name":"Institution of Engineering and Technology","host_organization_lineage":["https://openalex.org/P4310311714"],"host_organization_lineage_names":["Institution of Engineering and Technology"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IET Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2639752101","display_name":"\u5f20\u91cf\u7f51\u7edc\u4f18\u5316\u4e0e\u81ea\u9002\u5e94\u52a8\u91cf\u52a0\u901f\u7b97\u6cd5\u7814\u7a76","funder_award_id":"12071104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G266979804","display_name":null,"funder_award_id":"GJJ201409","funder_id":"https://openalex.org/F4320336746","funder_display_name":"Key Science and Technology Research Project in Jiangxi Province Department of Education"},{"id":"https://openalex.org/G4451567940","display_name":null,"funder_award_id":"20203BBF63043","funder_id":"https://openalex.org/F4320327780","funder_display_name":"Key Research and Development Program of Jiangxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325626","display_name":"Education Department of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320327780","display_name":"Key Research and Development Program of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320336746","display_name":"Key Science and Technology Research Project in Jiangxi Province Department of Education","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406125018.pdf","grobid_xml":"https://content.openalex.org/works/W4406125018.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W792141054","https://openalex.org/W1979646154","https://openalex.org/W2013912476","https://openalex.org/W2024165284","https://openalex.org/W2085040216","https://openalex.org/W2091449379","https://openalex.org/W2147512299","https://openalex.org/W2179076887","https://openalex.org/W2404400936","https://openalex.org/W2767298482","https://openalex.org/W2767854248","https://openalex.org/W2902048196","https://openalex.org/W2907017794","https://openalex.org/W2910747518","https://openalex.org/W2922389135","https://openalex.org/W2944102862","https://openalex.org/W2980537499","https://openalex.org/W3000389866","https://openalex.org/W3117280498","https://openalex.org/W3123204570","https://openalex.org/W3132273569","https://openalex.org/W3134023108","https://openalex.org/W3205590958","https://openalex.org/W3213920736","https://openalex.org/W4223950409","https://openalex.org/W4285160778","https://openalex.org/W4285179601","https://openalex.org/W4290098428","https://openalex.org/W4304990322","https://openalex.org/W4312055772","https://openalex.org/W4377088766","https://openalex.org/W4387385713","https://openalex.org/W4399620447"],"related_works":["https://openalex.org/W4379256054","https://openalex.org/W2093953080","https://openalex.org/W2911706637","https://openalex.org/W47805180","https://openalex.org/W3216281372","https://openalex.org/W2963838862","https://openalex.org/W2608089480","https://openalex.org/W3015641590","https://openalex.org/W2987657992","https://openalex.org/W4297666106"],"abstract_inverted_index":{"Data":[0],"loss":[1],"is":[2,42,80,99,110,122,147],"a":[3,26,69,102,113,123,132,163],"common":[4],"problem":[5],"in":[6,19],"intelligent":[7],"transportation":[8],"systems":[9],"(ITSs).":[10],"And":[11],"the":[12,35,52,56,90,93,96,107,117,167],"tensor\u2010based":[13,127],"interpolation":[14,128,151],"algorithm":[15,41,146,152],"has":[16],"obvious":[17],"superiority":[18],"multidimensional":[20],"data":[21],"interpolation.":[22],"In":[23],"this":[24],"paper,":[25],"Bayesian":[27],"robust":[28,164],"tensor":[29,50,58,79,109],"decomposition":[30],"method":[31,165],"(MBRTF)":[32],"based":[33],"on":[34,95],"Markov":[36],"chain":[37],"Monte":[38],"Carlo":[39],"(MCMC)":[40],"proposed.":[43],"The":[44,75,144],"underlying":[45],"low":[46,76],"CANDECOMP/PARAFAC":[47],"(CP)":[48],"rank":[49,78],"captures":[51,59],"global":[53],"information,":[54],"and":[55,89,139],"sparse":[57,108],"local":[60],"information":[61],"(also":[62],"regarded":[63],"as":[64],"anomalous":[65],"data),":[66],"which":[67],"achieves":[68],"reliable":[70],"prediction":[71],"of":[72,92,116,170],"missing":[73,137,141,172],"terms.":[74],"CP":[77],"modeled":[81,111],"by":[82,112],"linear":[83],"interrelationships":[84],"among":[85],"multiple":[86,150],"latent":[87,97],"factors,":[88],"sparsity":[91],"columns":[94],"factors":[98],"achieved":[100],"through":[101],"hierarchical":[103,114],"prior":[104],"approach,":[105],"while":[106],"view":[115],"Student\u2010":[118],"t":[119],"distribution.":[120],"It":[121],"challenge":[124],"for":[125,166],"traditional":[126],"methods":[129],"to":[130],"maintain":[131],"stable":[133],"performance":[134],"under":[135],"different":[136],"rates":[138],"nonrandom":[140],"(NM)":[142],"scenarios.":[143],"MBRTF":[145],"an":[148],"effective":[149],"that":[153],"not":[154],"only":[155],"derives":[156],"unbiased":[157],"point":[158],"estimates":[159],"but":[160],"also":[161],"provides":[162],"uncertainty":[168],"measures":[169],"these":[171],"values.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}