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A Bayesian method for determining the optimal semi-metric and bandwidth in functional partial linear model with unknown error density

dc.contributor.authorShang, Hanlin
dc.contributor.editorEnea g Bongiorno
dc.contributor.editorAlso Goia
dc.contributor.editorErnesto Salinelli
dc.contributor.editorPhilippe Vieu
dc.date.accessioned2015-12-07T22:49:04Z
dc.identifier.isbn9788874887637
dc.identifier.urihttp://hdl.handle.net/1885/26591
dc.publisherSocieta Editrice Seculapio
dc.relation.ispartofContibutions in infinite- dimensional statistics and related topics
dc.relation.isversionof1st Edition
dc.titleA Bayesian method for determining the optimal semi-metric and bandwidth in functional partial linear model with unknown error density
dc.typeBook chapter
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2014
local.identifier.absfor010401 - Applied Statistics
local.identifier.ariespublicationu5260803xPUB45
local.type.statusPublished Version
local.contributor.affiliationShang, Hanlin, College of Business and Economics, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage263
local.bibliographicCitation.lastpage268
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
dc.date.updated2019-08-18T08:17:05Z
local.bibliographicCitation.placeofpublicationBologna, Italy
CollectionsANU Research Publications

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