{"id":"https://openalex.org/W1593691610","doi":"https://doi.org/10.3233/mas-2011-0185","title":"Generalized bivariate copulas and their properties","display_name":"Generalized bivariate copulas and their properties","publication_year":2011,"publication_date":"2011-05-05","ids":{"openalex":"https://openalex.org/W1593691610","doi":"https://doi.org/10.3233/mas-2011-0185","mag":"1593691610"},"language":"en","primary_location":{"id":"doi:10.3233/mas-2011-0185","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-2011-0185","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","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/A5100416712","display_name":"Jong\u2010Min Kim","orcid":"https://orcid.org/0000-0003-3821-2060"},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jong-Min Kim","raw_affiliation_strings":["Statistics Discipline, Division of Science and Mathematics, University of Minnesota, Morris, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Discipline, Division of Science and Mathematics, University of Minnesota, Morris, MN, USA","institution_ids":["https://openalex.org/I4210162301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037744311","display_name":"Engin A. Sungur","orcid":null},"institutions":[{"id":"https://openalex.org/I4210162301","display_name":"University of Minnesota Morris","ror":"https://ror.org/05vzqzh92","country_code":"US","type":"education","lineage":["https://openalex.org/I4210162301"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Engin A. Sungur","raw_affiliation_strings":["Statistics Discipline, Division of Science and Mathematics, University of Minnesota, Morris, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Statistics Discipline, Division of Science and Mathematics, University of Minnesota, Morris, MN, USA","institution_ids":["https://openalex.org/I4210162301"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101541609","display_name":"Taeryon Choi","orcid":"https://orcid.org/0000-0002-7847-8915"},"institutions":[{"id":"https://openalex.org/I1317225278","display_name":"Statistics Korea","ror":"https://ror.org/004g7jm05","country_code":"KR","type":"government","lineage":["https://openalex.org/I1317225278","https://openalex.org/I2801339556","https://openalex.org/I4210126005"]},{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taeryon Choi","raw_affiliation_strings":["Department of Statistics, Korea University, Seoul, 136-701, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Korea University, Seoul, 136-701, South Korea","institution_ids":["https://openalex.org/I1317225278","https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036063261","display_name":"Tae\u2010Young Heo","orcid":"https://orcid.org/0000-0002-0505-5559"},"institutions":[{"id":"https://openalex.org/I197867492","display_name":"Korea Maritime and Ocean University","ror":"https://ror.org/01v7y5b55","country_code":"KR","type":"education","lineage":["https://openalex.org/I197867492"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Young Heo","raw_affiliation_strings":["Department of Data Information Science, Korea Maritime University, Busan, 606-791, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Information Science, Korea Maritime University, Busan, 606-791, South Korea","institution_ids":["https://openalex.org/I197867492"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.3436,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.89287194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":"2","first_page":"127","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9729999899864197,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9661999940872192,"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/bivariate-analysis","display_name":"Bivariate analysis","score":0.849777340888977},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.6837728023529053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5965272188186646},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.531907320022583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46741437911987305}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.849777340888977},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.6837728023529053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5965272188186646},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.531907320022583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46741437911987305}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-2011-0185","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-2011-0185","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W614670535","https://openalex.org/W1485625483","https://openalex.org/W1521841036","https://openalex.org/W1616845929","https://openalex.org/W1972183602","https://openalex.org/W1992821923","https://openalex.org/W2002411430","https://openalex.org/W2018341772","https://openalex.org/W2077880535","https://openalex.org/W2117664464","https://openalex.org/W2119436275","https://openalex.org/W2158114082","https://openalex.org/W2296146392","https://openalex.org/W2907233437","https://openalex.org/W3035310783"],"related_works":["https://openalex.org/W2202466617","https://openalex.org/W2990837948","https://openalex.org/W3127236696","https://openalex.org/W2756923888","https://openalex.org/W4287838929","https://openalex.org/W2359012312","https://openalex.org/W4288017135","https://openalex.org/W3099337062","https://openalex.org/W2767176313","https://openalex.org/W3177005804"],"abstract_inverted_index":{"Copulas":[0],"are":[1],"useful":[2],"devices":[3],"to":[4,28],"explain":[5],"the":[6,13],"dependence":[7],"structure":[8],"among":[9],"variables":[10],"by":[11],"eliminating":[12],"influence":[14],"of":[15,25],"marginals.":[16],"In":[17],"this":[18],"paper,":[19],"we":[20],"propose":[21],"a":[22],"new":[23],"class":[24],"bivariate":[26],"copulas":[27],"quantify":[29],"dependency":[30],"and":[31],"incorporate":[32],"it":[33],"into":[34],"various":[35],"iterated":[36],"copul":[37]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":5},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
