{"id":"https://openalex.org/W4321446331","doi":"https://doi.org/10.1080/00401706.2023.2182366","title":"Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection","display_name":"Joint Diagnosis of High-Dimensional Process Mean and Covariance Matrix based on Bayesian Model Selection","publication_year":2023,"publication_date":"2023-02-21","ids":{"openalex":"https://openalex.org/W4321446331","doi":"https://doi.org/10.1080/00401706.2023.2182366"},"language":"en","primary_location":{"id":"doi:10.1080/00401706.2023.2182366","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2023.2182366","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","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/A5072391025","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0003-3818-0468"},"institutions":[{"id":"https://openalex.org/I38706770","display_name":"Guilin University of Technology","ror":"https://ror.org/03z391397","country_code":"CN","type":"education","lineage":["https://openalex.org/I38706770"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Xu","raw_affiliation_strings":["College of Science, Guilin University of Technology","College of Science, Guilin University of Technology, Guilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Science, Guilin University of Technology","institution_ids":["https://openalex.org/I38706770"]},{"raw_affiliation_string":"College of Science, Guilin University of Technology, Guilin, China","institution_ids":["https://openalex.org/I38706770"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076373662","display_name":"Lianjie Shu","orcid":"https://orcid.org/0000-0001-6860-698X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":true,"raw_author_name":"Lianjie Shu","raw_affiliation_strings":["Faculty of Business Administration, University of Macau","Faculty of Business Administration, University of Macau, Taipa, Macau"],"raw_orcid":"https://orcid.org/0000-0001-6860-698X","affiliations":[{"raw_affiliation_string":"Faculty of Business Administration, University of Macau","institution_ids":["https://openalex.org/I204512498"]},{"raw_affiliation_string":"Faculty of Business Administration, University of Macau, Taipa, Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720244","display_name":"Yanting Li","orcid":"https://orcid.org/0000-0003-2233-4901"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanting Li","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University","Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023338888","display_name":"Binhui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binhui","raw_affiliation_strings":["View further author information"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"View further author information","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111979738","display_name":"Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]},{"id":"https://openalex.org/I4210097214","display_name":"Shandong Management University","ror":"https://ror.org/00vzprm14","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210097214"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang","raw_affiliation_strings":["School of Management, Jinan University","School of Management, Jinan University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Jinan University","institution_ids":["https://openalex.org/I4210097214"]},{"raw_affiliation_string":"School of Management, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076373662"],"corresponding_institution_ids":["https://openalex.org/I204512498"],"apc_list":null,"apc_paid":null,"fwci":0.8178,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71020841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"65","issue":"4","first_page":"465","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.6328152418136597},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.586689829826355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.543430745601654},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.530998706817627},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5295199751853943},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.514462947845459},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.504393458366394},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4985532760620117},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.46694815158843994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41666731238365173},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.398895263671875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3912966847419739},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38981279730796814},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3215351104736328}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.6328152418136597},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.586689829826355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.543430745601654},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.530998706817627},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5295199751853943},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.514462947845459},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.504393458366394},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4985532760620117},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.46694815158843994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41666731238365173},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.398895263671875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3912966847419739},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38981279730796814},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3215351104736328},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00401706.2023.2182366","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00401706.2023.2182366","pdf_url":null,"source":{"id":"https://openalex.org/S985303","display_name":"Technometrics","issn_l":"0040-1706","issn":["0040-1706","1537-2723"],"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":"Technometrics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Clean water and sanitation","id":"https://metadata.un.org/sdg/6"}],"awards":[{"id":"https://openalex.org/G5567823395","display_name":null,"funder_award_id":"EF020/FBA-SLJ/2022/GDSTC","funder_id":"https://openalex.org/F4320324202","funder_display_name":"Guangdong Science and Technology Department"}],"funders":[{"id":"https://openalex.org/F4320324202","display_name":"Guangdong Science and Technology Department","ror":"https://ror.org/00tjzgn92"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W58765961","https://openalex.org/W155240222","https://openalex.org/W163398912","https://openalex.org/W588549958","https://openalex.org/W1488725177","https://openalex.org/W1594791439","https://openalex.org/W1977106467","https://openalex.org/W1984605331","https://openalex.org/W1986899418","https://openalex.org/W1990885553","https://openalex.org/W2013901661","https://openalex.org/W2033461145","https://openalex.org/W2045067839","https://openalex.org/W2056222827","https://openalex.org/W2056980115","https://openalex.org/W2095934857","https://openalex.org/W2106632614","https://openalex.org/W2159347337","https://openalex.org/W2171301184","https://openalex.org/W2293302691","https://openalex.org/W2607420770","https://openalex.org/W2734129016","https://openalex.org/W2761707930","https://openalex.org/W2766204085","https://openalex.org/W2897601180","https://openalex.org/W2914884633","https://openalex.org/W3022403210","https://openalex.org/W3098156977","https://openalex.org/W3103378975","https://openalex.org/W3214323364"],"related_works":["https://openalex.org/W2135187896","https://openalex.org/W2015518264","https://openalex.org/W2562263695","https://openalex.org/W3160546271","https://openalex.org/W2147201983","https://openalex.org/W2795035211","https://openalex.org/W4311646318","https://openalex.org/W2160108762","https://openalex.org/W2168271748","https://openalex.org/W1718066205"],"abstract_inverted_index":{"Apart":[0],"from":[1],"the":[2,30,35,41,70,82,102,107,110,114,122,130,138,148,151],"quick":[3],"detection":[4],"of":[5,32,44,72,93,96,112,150],"abnormal":[6,97],"changes":[7,33],"in":[8,34,67,106],"a":[9,79],"process,":[10],"it":[11,75,100],"is":[12,88,144],"also":[13,77],"critical":[14],"to":[15,69,146],"pinpoint":[16],"faulty":[17],"variables":[18],"after":[19],"an":[20],"out-of-control":[21],"signal.":[22],"The":[23,59,126],"existing":[24],"diagnostic":[25],"procedures":[26],"mainly":[27],"focus":[28],"on":[29,52,137],"diagnosis":[31,43],"process":[36,46,143],"mean.":[37],"This":[38],"article":[39],"investigates":[40],"joint":[42],"high-dimensional":[45],"mean":[47],"and":[48],"covariance":[49],"matrix":[50],"based":[51,136],"Bayesian":[53],"model":[54,103],"selection":[55],"with":[56,117],"nonlocal":[57],"priors.":[58],"proposed":[60,131,152],"procedure":[61],"enjoys":[62],"two":[63],"promising":[64],"features.":[65],"First,":[66],"addition":[68],"isolation":[71],"shifted":[73],"components,":[74],"can":[76],"provide":[78],"probability":[80,111],"that":[81,109],"identified":[83],"components":[84,116],"are":[85],"true,":[86],"which":[87],"very":[89],"useful":[90],"for":[91],"elimination":[92],"root":[94],"causes":[95],"changes.":[98],"Second,":[99],"possesses":[101],"consistency":[104],"property":[105],"sense":[108],"identifying":[113],"true":[115],"shifts":[118],"approaches":[119],"one":[120],"as":[121],"sample":[123],"size":[124],"increases.":[125],"performance":[127],"comparisons":[128],"favor":[129],"procedure.":[132],"A":[133],"real":[134],"example":[135],"urban":[139],"waste":[140],"water":[141],"treatment":[142],"provided":[145],"illustrate":[147],"implementation":[149],"method.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-13T07:31:44.756512","created_date":"2025-10-10T00:00:00"}
