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dc.contributor.authorPuig Oriol, Xavier
dc.contributor.authorFont Valverde, Martí
dc.contributor.authorGinebra Molins, Josep
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2016-09-06T10:09:51Z
dc.date.available2017-02-10T01:30:36Z
dc.date.issued2016
dc.identifier.citationPuig, X., Font, M., Ginebra, J. A unified approach to authorship attribution and verification. "American statistician", 2016, vol. 70, núm. 3, p. 232-242.
dc.identifier.issn0003-1305
dc.identifier.urihttp://hdl.handle.net/2117/89602
dc.description.abstractIn authorship attribution, one assigns texts from an unknown author to either one of two or more candidate authors by comparing the disputed texts with texts known to have been written by the candidate authors. In authorship verification, one decides whether a text or a set of texts could have been written by a given author. These two problems are usually treated separately. By assuming an open-set classification framework for the attribution problem, contemplating the possibility that none of the candidate authors is the unknown author, the verification problem becomes a special case of attribution problem. Here both problems are posed as a formal Bayesian multinomial model selection problem and are given a closed-form solution, tailored for categorical data, naturally incorporating text length and dependence in the analysis, and coping well with settings with a small number of training texts. The approach to authorship verification is illustrated by exploring whether a court ruling sentence could have been written by the judge that signs it, and the approach to authorship attribution is illustrated by revisiting the authorship attribution of the Federalist papers and through a small simulation study.
dc.format.extent11 p.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística
dc.subject.lcshBayesian statistical decision theory
dc.subject.otherBayesian methods
dc.subject.otherModel selection
dc.subject.otherMultinomial distribution
dc.subject.otherStylometry
dc.titleA unified approach to authorship attribution and verification
dc.typeArticle
dc.subject.lemacAnàlisi de dades -- Models matemàtics
dc.subject.lemacEstadística matemàtica
dc.subject.lemacEstadística bayesiana
dc.contributor.groupUniversitat Politècnica de Catalunya. ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials
dc.identifier.doi10.1080/00031305.2016.1148630
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://www.tandfonline.com/doi/full/10.1080/00031305.2016.1148630
dc.rights.accessOpen Access
local.identifier.drac18848445
dc.description.versionPostprint (author's final draft)
local.citation.authorPuig, X.; Font, M.; Ginebra, J.
local.citation.publicationNameAmerican statistician
local.citation.volume70
local.citation.number3
local.citation.startingPage232
local.citation.endingPage242


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