A Bayesian approach for ZMPS-GARMA model Applied to influenza count data time series (2022)
- Authors:
- USP affiliated authors: ANDRADE FILHO, MARINHO GOMES DE - ICMC ; CONCEIÇÃO, KATIANE SILVA - ICMC
- Unidade: ICMC
- Subjects: INFLUENZA; MÉTODO DE MONTE CARLO
- Language: Inglês
- Imprenta:
- Source:
- Título: Livro de Resumos
- Conference titles: Simpósio Nacional de Probabilidade e Estatística - SINAPE
-
ABNT
ANDRADE, Marinho Gomes de e CONCEIÇÃO, Katiane Silva e RAVISHANKER, Nalini. A Bayesian approach for ZMPS-GARMA model Applied to influenza count data time series. 2022, Anais.. São Paulo: ABE, 2022. Disponível em: https://sinape2022.eventize.com.br. Acesso em: 11 jan. 2026. -
APA
Andrade, M. G. de, Conceição, K. S., & Ravishanker, N. (2022). A Bayesian approach for ZMPS-GARMA model Applied to influenza count data time series. In Livro de Resumos. São Paulo: ABE. Recuperado de https://sinape2022.eventize.com.br -
NLM
Andrade MG de, Conceição KS, Ravishanker N. A Bayesian approach for ZMPS-GARMA model Applied to influenza count data time series [Internet]. Livro de Resumos. 2022 ;[citado 2026 jan. 11 ] Available from: https://sinape2022.eventize.com.br -
Vancouver
Andrade MG de, Conceição KS, Ravishanker N. A Bayesian approach for ZMPS-GARMA model Applied to influenza count data time series [Internet]. Livro de Resumos. 2022 ;[citado 2026 jan. 11 ] Available from: https://sinape2022.eventize.com.br - Modelo de Poisson ZMPS-GARMA bayesiano
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