{"id":"https://openalex.org/W2966071252","doi":"https://doi.org/10.1007/s11222-020-09953-7","title":"Generalised joint regression for count data: a penalty extension for competitive settings","display_name":"Generalised joint regression for count data: a penalty extension for competitive settings","publication_year":2020,"publication_date":"2020-06-25","ids":{"openalex":"https://openalex.org/W2966071252","doi":"https://doi.org/10.1007/s11222-020-09953-7","mag":"2966071252"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-020-09953-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-020-09953-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09953-7.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09953-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hendrik van der Wurp","orcid":"https://orcid.org/0000-0002-1044-417X"},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Hendrik van der Wurp","raw_affiliation_strings":["TU Dortmund University, Dortmund, Germany"],"raw_orcid":"https://orcid.org/0000-0002-1044-417X","affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Andreas Groll","orcid":null},"institutions":[{"id":"https://openalex.org/I200332995","display_name":"TU Dortmund University","ror":"https://ror.org/01k97gp34","country_code":"DE","type":"education","lineage":["https://openalex.org/I200332995"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andreas Groll","raw_affiliation_strings":["TU Dortmund University, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TU Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I200332995"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thomas Kneib","orcid":null},"institutions":[{"id":"https://openalex.org/I74656192","display_name":"University of G\u00f6ttingen","ror":"https://ror.org/01y9bpm73","country_code":"DE","type":"education","lineage":["https://openalex.org/I74656192"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Kneib","raw_affiliation_strings":["Georg-August University G\u00f6ttingen, G\u00f6ttingen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Georg-August University G\u00f6ttingen, G\u00f6ttingen, Germany","institution_ids":["https://openalex.org/I74656192"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Giampiero Marra","orcid":null},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Giampiero Marra","raw_affiliation_strings":["University College London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, UK","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":null,"display_name":"Rosalba Radice","orcid":null},"institutions":[{"id":"https://openalex.org/I180825142","display_name":"City, University of London","ror":"https://ror.org/04489at23","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I180825142"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Rosalba Radice","raw_affiliation_strings":["City University of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of London, London, UK","institution_ids":["https://openalex.org/I180825142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200332995"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":0.7994,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.7170418,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":"5","first_page":"1419","last_page":"1432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.258899986743927,"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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.258899986743927,"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/T11674","display_name":"Sports Analytics and Performance","score":0.16769999265670776,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.04670000076293945,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.7685999870300293},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.7013999819755554},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6101999878883362},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5139999985694885},{"id":"https://openalex.org/keywords/joint-probability-distribution","display_name":"Joint probability distribution","score":0.4848000109195709},{"id":"https://openalex.org/keywords/count-data","display_name":"Count data","score":0.46309998631477356}],"concepts":[{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.7685999870300293},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.7013999819755554},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6101999878883362},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5651000142097473},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5139999985694885},{"id":"https://openalex.org/C18653775","wikidata":"https://www.wikidata.org/wiki/Q1333358","display_name":"Joint probability distribution","level":2,"score":0.4848000109195709},{"id":"https://openalex.org/C33643355","wikidata":"https://www.wikidata.org/wiki/Q5176731","display_name":"Count data","level":3,"score":0.46309998631477356},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45260000228881836},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4481000006198883},{"id":"https://openalex.org/C165216359","wikidata":"https://www.wikidata.org/wiki/Q670653","display_name":"Marginal distribution","level":3,"score":0.4471000134944916},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4336000084877014},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3646000027656555},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.33730000257492065},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3278999924659729},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2782000005245209},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.2606000006198883},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-020-09953-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-020-09953-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09953-7.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},{"id":"pmh:oai:openaccess.city.ac.uk:24369","is_oa":false,"landing_page_url":"https://openaccess.city.ac.uk/view/creators_id/rosalba=2Eradice.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306401940","display_name":"City Research Online (City University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I180825142","host_organization_name":"City, University of London","host_organization_lineage":["https://openalex.org/I180825142"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"pmh:oai:publications.goettingen-research-online.de:2/81832","is_oa":true,"landing_page_url":"https://resolver.sub.uni-goettingen.de/purl?gro-2/81832","pdf_url":null,"source":{"id":"https://openalex.org/S4306401634","display_name":"GoeScholar  The Publication Server of the Georg-August-Universit\u00e4t G\u00f6ttingen (Georg-August-Universit\u00e4t G\u00f6ttingen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210122495","host_organization_name":"Asklepios Klinik St. Georg","host_organization_lineage":["https://openalex.org/I4210122495"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s11222-020-09953-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-020-09953-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-020-09953-7.pdf","source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics and Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320329559","display_name":"Technische Universit\u00e4t Dortmund","ror":"https://ror.org/01k97gp34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2966071252.pdf","grobid_xml":"https://content.openalex.org/works/W2966071252.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1975926620","https://openalex.org/W1982045290","https://openalex.org/W2017008479","https://openalex.org/W2034489173","https://openalex.org/W2057812305","https://openalex.org/W2061950503","https://openalex.org/W2113397087","https://openalex.org/W2135046866","https://openalex.org/W2154065358","https://openalex.org/W2167732681","https://openalex.org/W2172229041","https://openalex.org/W2256334485","https://openalex.org/W2574841627","https://openalex.org/W2587875293","https://openalex.org/W2595554554","https://openalex.org/W2724114697","https://openalex.org/W2806852452","https://openalex.org/W2921315344","https://openalex.org/W2960685216","https://openalex.org/W4294541781","https://openalex.org/W6821924414"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"We":[1,102],"propose":[2],"a":[3,80,88],"versatile":[4],"joint":[5,100],"regression":[6,69],"framework":[7],"for":[8,22,116],"count":[9,43,118],"responses.":[10],"The":[11],"method":[12,128],"is":[13,85,129],"implemented":[14],"in":[15,108],"the":[16,29,35,38,42,47,68,72,96,99,104,112,120,127,139],"R":[17],"add-on":[18],"package":[19],"and":[20,25,45],"allows":[21],"modelling":[23],"linear":[24],"non-linear":[26],"dependence":[27],"through":[28],"use":[30],"of":[31,37,41,46,55,71,98],"several":[32],"copulae.":[33],"Moreover,":[34],"parameters":[36,97],"marginal":[39,73],"distributions":[40],"responses":[44],"copula":[48],"can":[49],"be":[50,77],"specified":[51],"as":[52],"flexible":[53],"functions":[54],"covariates.":[56],"Motivated":[57],"by":[58],"competitive":[59,124],"settings,":[60],"we":[61],"also":[62],"discuss":[63],"an":[64],"extension":[65],"which":[66,92],"forces":[67],"coefficients":[70],"(linear)":[74],"predictors":[75],"to":[76,131,138,144],"equal":[78],"via":[79],"suitable":[81],"penalisation.":[82],"Model":[83],"fitting":[84],"based":[86],"on":[87],"trust":[89],"region":[90],"algorithm":[91],"estimates":[93],"simultaneously":[94],"all":[95],"models.":[101],"investigate":[103],"proposal\u2019s":[105],"empirical":[106],"performance":[107],"two":[109],"simulation":[110],"studies,":[111],"first":[113],"one":[114,122],"designed":[115],"arbitrary":[117],"data,":[119,133],"other":[121],"reflecting":[123],"settings.":[125],"Finally,":[126],"applied":[130],"football":[132],"showing":[134],"its":[135],"benefits":[136],"compared":[137],"standard":[140],"approach":[141],"with":[142],"regard":[143],"predictive":[145],"performance.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2019-08-13T00:00:00"}
