{"id":"https://openalex.org/W2896791371","doi":"https://doi.org/10.1080/01605682.2018.1487821","title":"Joint modeling: an application in behavioural scoring","display_name":"Joint modeling: an application in behavioural scoring","publication_year":2018,"publication_date":"2018-10-18","ids":{"openalex":"https://openalex.org/W2896791371","doi":"https://doi.org/10.1080/01605682.2018.1487821","mag":"2896791371"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2018.1487821","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2018.1487821","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5052230153","display_name":"Wenbin Hu","orcid":"https://orcid.org/0000-0002-3494-366X"},"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":true,"raw_author_name":"Wenbin Hu","raw_affiliation_strings":["College of Economics, Hangzhou Dianzi University, Hangzhou, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Economics, Hangzhou Dianzi University, Hangzhou, China;","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075232760","display_name":"Junzi Zhou","orcid":"https://orcid.org/0009-0009-1889-662X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junzi Zhou","raw_affiliation_strings":["Zhejiang Academy of Commerce, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Academy of Commerce, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052230153"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.5007,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.73553871,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"70","issue":"7","first_page":"1129","last_page":"1139"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9994999766349792,"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/T11496","display_name":"Credit Risk and Financial Regulations","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7952737808227539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7326323390007019},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6453279256820679},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.5324282050132751},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4882073700428009},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4746858775615692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3649711608886719},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3429391384124756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3131524622440338},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22302916646003723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1135861873626709},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08155858516693115}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7952737808227539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7326323390007019},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6453279256820679},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.5324282050132751},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4882073700428009},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4746858775615692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3649711608886719},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3429391384124756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3131524622440338},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22302916646003723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1135861873626709},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08155858516693115},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01605682.2018.1487821","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2018.1487821","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:70:y:2019:i:7:p:1129-1139","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2018.1487821","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":[{"display_name":"Reduced inequalities","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W125084057","https://openalex.org/W1222853772","https://openalex.org/W1580788756","https://openalex.org/W1966714873","https://openalex.org/W1967799413","https://openalex.org/W1968831178","https://openalex.org/W1971746503","https://openalex.org/W1979638902","https://openalex.org/W1980483151","https://openalex.org/W1980911127","https://openalex.org/W1992958333","https://openalex.org/W2003119650","https://openalex.org/W2020904508","https://openalex.org/W2034945547","https://openalex.org/W2041844120","https://openalex.org/W2042678655","https://openalex.org/W2046260364","https://openalex.org/W2054192965","https://openalex.org/W2065822953","https://openalex.org/W2068911395","https://openalex.org/W2074795169","https://openalex.org/W2085538972","https://openalex.org/W2131816657","https://openalex.org/W2168583760","https://openalex.org/W2302148421","https://openalex.org/W2305849921","https://openalex.org/W2400929631","https://openalex.org/W2512685240","https://openalex.org/W2951775082","https://openalex.org/W3147894994","https://openalex.org/W4230076583","https://openalex.org/W4240400659","https://openalex.org/W4295184201","https://openalex.org/W4296406622"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2080773131","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2994787386","https://openalex.org/W2002304499"],"abstract_inverted_index":{"Survival":[0],"analysis":[1],"has":[2],"become":[3],"an":[4,56],"appealing":[5],"approach":[6],"in":[7,34,40,109],"credit":[8],"scoring.":[9,42],"It":[10],"is":[11,32,106,120],"able":[12],"to":[13,61],"readily":[14],"incorporate":[15],"time-dependent":[16],"covariates":[17,31],"and":[18,29,75,93,122],"dynamically":[19],"predict":[20],"the":[21,25,35,77,83,102,110,117],"survival":[22,59,66],"probability.":[23],"However,":[24],"difference":[26],"between":[27],"endogenous":[28],"exogenous":[30],"ignored":[33],"existing":[36],"extended":[37],"Cox":[38,85],"models":[39],"behavioural":[41],"In":[43],"this":[44],"paper,":[45],"we":[46],"apply":[47],"joint":[48,80,103],"modelling":[49,81],"framework,":[50],"which":[51],"can":[52],"be":[53],"seen":[54],"as":[55],"extension":[57],"of":[58,65,79],"analysis,":[60],"overcome":[62],"such":[63],"deficiency":[64],"models.":[67],"We":[68],"carefully":[69],"design":[70],"experiments":[71],"on":[72,90],"two":[73],"datasets":[74],"verify":[76],"superiority":[78],"over":[82],"extend":[84],"model":[86,104],"through":[87],"cross":[88],"validation":[89],"dynamic":[91],"discrimination":[92],"calibration":[94,111],"performance":[95,105,119],"measures.":[96],"The":[97,113],"experimental":[98],"results":[99],"indicate":[100],"that":[101],"better,":[107],"especially":[108],"measure.":[112],"key":[114],"reason":[115],"for":[116],"better":[118],"discussed":[121],"illustrated.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
