Issues in the multiple try metropolis mixing (2017)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1007/s00180-016-0643-9
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Keywords: Multiple Try Metropolis algorithm; Multi-point Metropolis algorithm; MTM with variable number of tries
- Language: Inglês
- Imprenta:
- Publisher place: Heidelberg
- Date published: 2017
- Source:
- Título do periódico: Computational Statistics
- ISSN: 0943-4062
- Volume/Número/Paginação/Ano: v. 32, n. 1, p. 239-252, Mar. 2017
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
MARTINO, L. e LOUZADA, Francisco. Issues in the multiple try metropolis mixing. Computational Statistics, v. 32, n. 1, p. 239-252, 2017Tradução . . Disponível em: https://doi.org/10.1007/s00180-016-0643-9. Acesso em: 23 abr. 2024. -
APA
Martino, L., & Louzada, F. (2017). Issues in the multiple try metropolis mixing. Computational Statistics, 32( 1), 239-252. doi:10.1007/s00180-016-0643-9 -
NLM
Martino L, Louzada F. Issues in the multiple try metropolis mixing [Internet]. Computational Statistics. 2017 ; 32( 1): 239-252.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00180-016-0643-9 -
Vancouver
Martino L, Louzada F. Issues in the multiple try metropolis mixing [Internet]. Computational Statistics. 2017 ; 32( 1): 239-252.[citado 2024 abr. 23 ] Available from: https://doi.org/10.1007/s00180-016-0643-9 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1007/s00180-016-0643-9 (Fonte: oaDOI API)
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