A Conway-Maxwell-Poisson GARMA model for count time series data (2020)
- Autor:
- Autor USP: EHLERS, RICARDO SANDES - ICMC
- Unidade: ICMC
- Subjects: ANÁLISE DE SÉRIES TEMPORAIS; DISTRIBUIÇÃO DE POISSON
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Resumos
- Conference titles: Brazilian Meeting of Bayesian Statistics
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ABNT
EHLERS, Ricardo Sandes. A Conway-Maxwell-Poisson GARMA model for count time series data. 2020, Anais.. São Paulo: IME-USP, 2020. Disponível em: https://www.ime.usp.br/~isbra/ebeb2020/program-XVEBEB.pdf. Acesso em: 25 abr. 2024. -
APA
Ehlers, R. S. (2020). A Conway-Maxwell-Poisson GARMA model for count time series data. In Resumos. São Paulo: IME-USP. Recuperado de https://www.ime.usp.br/~isbra/ebeb2020/program-XVEBEB.pdf -
NLM
Ehlers RS. A Conway-Maxwell-Poisson GARMA model for count time series data [Internet]. Resumos. 2020 ;[citado 2024 abr. 25 ] Available from: https://www.ime.usp.br/~isbra/ebeb2020/program-XVEBEB.pdf -
Vancouver
Ehlers RS. A Conway-Maxwell-Poisson GARMA model for count time series data [Internet]. Resumos. 2020 ;[citado 2024 abr. 25 ] Available from: https://www.ime.usp.br/~isbra/ebeb2020/program-XVEBEB.pdf - Comparing multivariate GARCH-DCC models using Hamiltonian Monte Carlo and Stan
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