Official Statistics Data Integration Using Copulas
dc.contributor.author | Dalla Valle, L | |
dc.date.accessioned | 2017-03-28T11:47:50Z | |
dc.date.available | 2017-03-28T11:47:50Z | |
dc.date.issued | 2014-03 | |
dc.identifier.issn | 1684-3703 | |
dc.identifier.issn | 1811-4857 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/8701 | |
dc.description.abstract |
The aim of this paper is to propose a novel approach to integrate financial information, incorporating the dependence structure among the variables in the model. The approach is based on two types of graphical models: vines and non-parametric Bayesian belief nets (NPBBNs). Vines are undirected graphs, representing pair copula constructions, which are used to model the dependence structure of a set of variables. NPBBNs are directed graphs, that use pair copulas to model the dependencies, and allow US for diagnosis and prediction via conditionalization. This approach permits to aggregate information and to calibrate the results obtained with different sources of data. The illustrated methodologies are applied to two financial datasets, the first one containing data collected through a survey and the second one containing official statistics data. © ICAQM 2014. | |
dc.format.extent | 111-131 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Informa UK Limited | |
dc.subject | Copulas | |
dc.subject | data integration | |
dc.subject | non-parametric Bayesian belief nets | |
dc.subject | official statistics | |
dc.subject | vines | |
dc.title | Official Statistics Data Integration Using Copulas | |
dc.type | journal-article | |
dc.type | Article | |
plymouth.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000340442500009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.issue | 1 | |
plymouth.volume | 11 | |
plymouth.publication-status | Published | |
plymouth.journal | QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT | |
dc.identifier.doi | 10.1080/16843703.2014.11673329 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/EXTENDED UoA 10 - Mathematical Sciences | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA10 Mathematical Sciences | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2014-01-28 | |
dc.identifier.eissn | 1811-4857 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1080/16843703.2014.11673329 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2014-03 | |
rioxxterms.type | Journal Article/Review |