Weighting a resampled particle in Sequential Monte Carlo View Document (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1109/SSP.2016.7551711
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Keywords: Monte Carlo methods; Probability density function; Signal processing; Signal processing algorithms
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2016
- Source:
- Título: Proceedings
- Conference titles: IEEE Workshop on Statistical Signal Processing - SSP
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MARTINO, L e ELVIRA, V e LOUZADA, Francisco. Weighting a resampled particle in Sequential Monte Carlo View Document. 2016, Anais.. Piscataway: IEEE, 2016. Disponível em: https://doi.org/10.1109/SSP.2016.7551711. Acesso em: 01 jan. 2026. -
APA
Martino, L., Elvira, V., & Louzada, F. (2016). Weighting a resampled particle in Sequential Monte Carlo View Document. In Proceedings. Piscataway: IEEE. doi:10.1109/SSP.2016.7551711 -
NLM
Martino L, Elvira V, Louzada F. Weighting a resampled particle in Sequential Monte Carlo View Document [Internet]. Proceedings. 2016 ;[citado 2026 jan. 01 ] Available from: https://doi.org/10.1109/SSP.2016.7551711 -
Vancouver
Martino L, Elvira V, Louzada F. Weighting a resampled particle in Sequential Monte Carlo View Document [Internet]. Proceedings. 2016 ;[citado 2026 jan. 01 ] Available from: https://doi.org/10.1109/SSP.2016.7551711 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1109/SSP.2016.7551711 (Fonte: oaDOI API)
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