Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach (2023)
- Authors:
- USP affiliated authors: ACHCAR, JORGE ALBERTO - FMRP ; BARILI, EMERSON - FMRP
- Unidade: FMRP
- DOI: 10.9734/ijecc/2023/v13i61795
- Subjects: CLIMA; MÉTODOS MCMC; INFERÊNCIA BAYESIANA
- Keywords: Climate data; AR models; Change-points; Annual mean temperature; Bayesian approach; MCMC methods
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Environment and Climate Change
- ISSN: 2231-4784
- Volume/Número/Paginação/Ano: v. 13, n. 6, p. 23-47, 2023
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
ACHCAR, Jorge Alberto e BARILI, Emerson. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, v. 13, n. 6, p. 23-47, 2023Tradução . . Disponível em: https://doi.org/10.9734/ijecc/2023/v13i61795. Acesso em: 08 abr. 2026. -
APA
Achcar, J. A., & Barili, E. (2023). Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach. International Journal of Environment and Climate Change, 13( 6), 23-47. doi:10.9734/ijecc/2023/v13i61795 -
NLM
Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2026 abr. 08 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795 -
Vancouver
Achcar JA, Barili E. Climate Change Data: Use of an Autoregressive (AR) Model in Presence of Change Points under a Bayesian Approach [Internet]. International Journal of Environment and Climate Change. 2023 ; 13( 6): 23-47.[citado 2026 abr. 08 ] Available from: https://doi.org/10.9734/ijecc/2023/v13i61795 - Semiparametric transformation model in presence of cure fraction: a hierarchical Bayesian approach assuming the unknown hazards as latent factors
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