An urn-based Bayesian block bootstrap


Autoria(s): Cirillo, Pasquale; Muliere, Pietro
Data(s)

01/01/2013

Resumo

Block bootstrap has been introduced in the literature for resampling dependent data, i.e. stationary processes. One of the main assumptions in block bootstrapping is that the blocks of observations are exchangeable, i.e. their joint distribution is immune to permutations. In this paper we propose a new Bayesian approach to block bootstrapping, starting from the construction of exchangeable blocks. Our sampling mechanism is based on a particular class of reinforced urn processes

Formato

application/pdf

Identificador

http://boris.unibe.ch/41508/1/__ubnetapp02_user%24_brinksma_Downloads_urn-based.pdf

Cirillo, Pasquale; Muliere, Pietro (2013). An urn-based Bayesian block bootstrap. METRIKA, 76(1), pp. 93-106. Springer 10.1007/s00184-011-0377-1 <http://dx.doi.org/10.1007/s00184-011-0377-1>

doi:10.7892/boris.41508

info:doi:10.1007/s00184-011-0377-1

urn:issn:0026-1335

Idioma(s)

eng

Publicador

Springer

Relação

http://boris.unibe.ch/41508/

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

Cirillo, Pasquale; Muliere, Pietro (2013). An urn-based Bayesian block bootstrap. METRIKA, 76(1), pp. 93-106. Springer 10.1007/s00184-011-0377-1 <http://dx.doi.org/10.1007/s00184-011-0377-1>

Palavras-Chave #510 Mathematics
Tipo

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

PeerReviewed