{"id":"https://openalex.org/W4360868789","doi":"https://doi.org/10.1007/s11222-023-10224-4","title":"Quantile-distribution functions and their use for classification, with application to na\u00efve Bayes classifiers","display_name":"Quantile-distribution functions and their use for classification, with application to na\u00efve Bayes classifiers","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4360868789","doi":"https://doi.org/10.1007/s11222-023-10224-4"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-023-10224-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-023-10224-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-023-10224-4.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/s11222-023-10224-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020069413","display_name":"Edoardo Redivo","orcid":"https://orcid.org/0000-0002-6367-6791"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Edoardo Redivo","raw_affiliation_strings":["Department of Statistical Sciences, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051054730","display_name":"Cinzia Viroli","orcid":"https://orcid.org/0000-0002-3278-5266"},"institutions":[{"id":"https://openalex.org/I9360294","display_name":"University of Bologna","ror":"https://ror.org/01111rn36","country_code":"IT","type":"education","lineage":["https://openalex.org/I9360294"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cinzia Viroli","raw_affiliation_strings":["Department of Statistical Sciences, University of Bologna, Bologna, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Sciences, University of Bologna, Bologna, Italy","institution_ids":["https://openalex.org/I9360294"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090841446","display_name":"Alessio Farcomeni","orcid":"https://orcid.org/0000-0002-7104-5826"},"institutions":[{"id":"https://openalex.org/I116067653","display_name":"University of Rome Tor Vergata","ror":"https://ror.org/02p77k626","country_code":"IT","type":"education","lineage":["https://openalex.org/I116067653"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessio Farcomeni","raw_affiliation_strings":["Department of Economics and Finance, University of Rome \u201cTor Vergata\u201d, Rome, Italy","Department of Economics and Finance, University of Rome \"Tor Vergata\", Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics and Finance, University of Rome \u201cTor Vergata\u201d, Rome, Italy","institution_ids":["https://openalex.org/I116067653"]},{"raw_affiliation_string":"Department of Economics and Finance, University of Rome \"Tor Vergata\", Rome, Italy","institution_ids":["https://openalex.org/I116067653"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020069413"],"corresponding_institution_ids":["https://openalex.org/I9360294"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":{"value":2090,"currency":"EUR","value_usd":2690},"fwci":3.9823,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.9489071,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"33","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9957000017166138,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9957000017166138,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9925000071525574,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.7451876401901245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5937394499778748},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5786446928977966},{"id":"https://openalex.org/keywords/bayes-classifier","display_name":"Bayes classifier","score":0.4983837604522705},{"id":"https://openalex.org/keywords/quantile-function","display_name":"Quantile function","score":0.4918978214263916},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4768741726875305},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.45014363527297974},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4499899744987488},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4349740743637085},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.428190678358078},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38704079389572144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.33659103512763977},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3340567350387573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3263280391693115},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32575008273124695},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.2809678912162781},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.17286723852157593},{"id":"https://openalex.org/keywords/moment-generating-function","display_name":"Moment-generating function","score":0.08710554242134094}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7451876401901245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5937394499778748},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5786446928977966},{"id":"https://openalex.org/C185207860","wikidata":"https://www.wikidata.org/wiki/Q17004744","display_name":"Bayes classifier","level":4,"score":0.4983837604522705},{"id":"https://openalex.org/C47121976","wikidata":"https://www.wikidata.org/wiki/Q3489473","display_name":"Quantile function","level":4,"score":0.4918978214263916},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4768741726875305},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.45014363527297974},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4499899744987488},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4349740743637085},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.428190678358078},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38704079389572144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33659103512763977},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3340567350387573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3263280391693115},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32575008273124695},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2809678912162781},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.17286723852157593},{"id":"https://openalex.org/C101796028","wikidata":"https://www.wikidata.org/wiki/Q535587","display_name":"Moment-generating function","level":3,"score":0.08710554242134094},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s11222-023-10224-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-023-10224-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-023-10224-4.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:art.torvergata.it:2108/318418","is_oa":true,"landing_page_url":"https://hdl.handle.net/2108/318418","pdf_url":"https://art.torvergata.it/bitstream/2108/318418/1/qdFunctions.pdf","source":{"id":"https://openalex.org/S4306400993","display_name":"Cineca Institutional Research Information System (Tor Vergata University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I116067653","host_organization_name":"University of Rome Tor Vergata","host_organization_lineage":["https://openalex.org/I116067653"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:cris.unibo.it:11585/933913","is_oa":true,"landing_page_url":"https://link.springer.com/article/10.1007/s11222-023-10224-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306402579","display_name":"Archivio istituzionale della ricerca (Alma Mater Studiorum Universit\u00e0 di Bologna)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210117483","host_organization_name":"Istituto di Ematologia di Bologna","host_organization_lineage":["https://openalex.org/I4210117483"],"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/s11222-023-10224-4","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11222-023-10224-4","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11222-023-10224-4.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/F4320323553","display_name":"Universit\u00e0 di Bologna","ror":"https://ror.org/01111rn36"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4360868789.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1482652061","https://openalex.org/W1559250156","https://openalex.org/W1964894347","https://openalex.org/W1968699725","https://openalex.org/W2031337030","https://openalex.org/W2031869465","https://openalex.org/W2032026767","https://openalex.org/W2054030090","https://openalex.org/W2065134558","https://openalex.org/W2070255947","https://openalex.org/W2077866122","https://openalex.org/W2112231177","https://openalex.org/W2113001205","https://openalex.org/W2124532504","https://openalex.org/W2172238468","https://openalex.org/W2555207480","https://openalex.org/W2803413127","https://openalex.org/W2902087014","https://openalex.org/W3135145107","https://openalex.org/W3170272866","https://openalex.org/W4205179142"],"related_works":["https://openalex.org/W3136930549","https://openalex.org/W2911373886","https://openalex.org/W2790774582","https://openalex.org/W2031337030","https://openalex.org/W2374047926","https://openalex.org/W4382774528","https://openalex.org/W2057359786","https://openalex.org/W2394466068","https://openalex.org/W2792247961","https://openalex.org/W2537862391"],"abstract_inverted_index":{"Abstract":[0],"We":[1,37],"develop":[2],"a":[3,29,39,50,56,89],"flexible":[4],"parametric":[5],"framework":[6],"for":[7,52],"the":[8,15,68,71,76],"estimation":[9],"of":[10,17,32,67,70,75],"quantile":[11],"functions.":[12],"This":[13],"involves":[14],"specification":[16],"an":[18,61],"analytical":[19],"quantile-distribution":[20],"function.":[21],"It":[22],"is":[23],"shown":[24],"to":[25,28,44],"adapt":[26],"well":[27],"wide":[30],"range":[31],"distributions":[33],"under":[34],"reasonable":[35],"assumptions.":[36],"derive":[38],"least-square":[40],"type":[41],"estimator,":[42,69],"leading":[43],"computationally":[45],"efficient":[46],"inference.":[47],"By-products":[48],"include":[49],"test":[51,73],"comparing":[53],"two":[54],"distributions,":[55],"variable":[57],"selection":[58],"method,":[59],"and":[60,74,83,86],"innovative":[62],"na\u00efve":[63],"Bayes":[64],"classifier.":[65],"Properties":[66],"asymptotic":[72],"classifier":[77],"are":[78],"investigated":[79],"through":[80,88],"theoretical":[81],"results":[82],"simulation":[84],"studies,":[85],"illustrated":[87],"real":[90],"data":[91],"example.":[92]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2023-03-25T00:00:00"}
