Orthogonal parallel MCMC methods for sampling and optimization (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.dsp.2016.07.013
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Keywords: Optimization; Parallel Markov Chain Monte Carlo; Parallel Multiple Try Metropolis; Block Independent Metropolis; Parallel Simulated Annealing
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Digital Signal Processing
- ISSN: 1051-2004
- Volume/Número/Paginação/Ano: v. 58, p. 64-84, Nov. 2016
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
MARTINO, L. et al. Orthogonal parallel MCMC methods for sampling and optimization. Digital Signal Processing, v. No 2016, p. 64-84, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.dsp.2016.07.013. Acesso em: 28 mar. 2024. -
APA
Martino, L., Elvira, V., Luengo, D., Corander, J., & Louzada, F. (2016). Orthogonal parallel MCMC methods for sampling and optimization. Digital Signal Processing, No 2016, 64-84. doi:10.1016/j.dsp.2016.07.013 -
NLM
Martino L, Elvira V, Luengo D, Corander J, Louzada F. Orthogonal parallel MCMC methods for sampling and optimization [Internet]. Digital Signal Processing. 2016 ; No 2016 64-84.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.dsp.2016.07.013 -
Vancouver
Martino L, Elvira V, Luengo D, Corander J, Louzada F. Orthogonal parallel MCMC methods for sampling and optimization [Internet]. Digital Signal Processing. 2016 ; No 2016 64-84.[citado 2024 mar. 28 ] Available from: https://doi.org/10.1016/j.dsp.2016.07.013 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1016/j.dsp.2016.07.013 (Fonte: oaDOI API)
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