Bayesian generalizations of the integer-valued autoregressive model

dc.contributor.authorPAULO CILAS MARQUES FILHO
dc.contributor.authorGraziadei, Helton
dc.contributor.authorHEDIBERT FREITAS LOPES
dc.creatorGraziadei, Helton
dc.date.accessioned2024-10-28T23:51:36Z
dc.date.available2024-10-28T23:51:36Z
dc.date.issued2020
dc.description.abstractWe develop two Bayesian generalizations of the Poisson integer-valued autoregressive model. The AdINAR(1) model accounts for overdispersed data by means of an innovation process whose marginal distributions are finite mixtures, while the DP-INAR(1) model is a hierarchical extension involving a Dirichlet process, which is capable of modeling a latent pattern of heterogeneity in the distribution of the innovations rates. The probabilistic forecasting capabilities of both models are put to test in the analysis of crime data in Pittsburgh, with favorable results.en
dc.formatDigital
dc.format.extentp. 336 – 356
dc.identifier.doi10.1080/02664763.2020.1812544
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/7190
dc.language.isoInglês
dc.relation.isboundProdução vinculada ao Núcleo de Ciências de Dados e Decisão
dc.relation.ispartofJournal of Applied Statistics
dc.titleBayesian generalizations of the integer-valued autoregressive model
dc.typejournal article
dspace.entity.typePublication
local.identifier.sourceUrihttps://www.tandfonline.com/doi/citedby/10.1080/02664763.2020.1812544?scroll=top&needAccess=true
local.publisher.countryNão Informado
local.typeArtigo Científico
publicationissue.issueNumber2
publicationvolume.volumeNumber49
relation.isAuthorOfPublication81f1ea11-d601-4050-ae7b-e6aff836da3f
relation.isAuthorOfPublication41f844cb-0e5a-4ef1-bb19-5ab1cec8e2ca
relation.isAuthorOfPublication.latestForDiscovery81f1ea11-d601-4050-ae7b-e6aff836da3f
Arquivos
Pacote Original
Agora exibindo 1 - 1 de 1
N/D
Nome:
ACESSO_RESTRITO_Artigo_2020_Bayesian_generalizations_of_the_integer_valued_autoregressive_model_TC.pdf
Tamanho:
2.54 MB
Formato:
Adobe Portable Document Format
Licença do Pacote
Agora exibindo 1 - 1 de 1
N/D
Nome:
license.txt
Tamanho:
236 B
Formato:
Item-specific license agreed upon to submission
Descrição: