Adaptive population importance samplers: a general perspective (2016)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1109/SAM.2016.7569668
- Subjects: ESTATÍSTICA APLICADA; INFERÊNCIA BAYESIANA; INFERÊNCIA ESTATÍSTICA
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos, CA
- Date published: 2016
- Source:
- Título: Proceedings
- ISSN: 2151-870X
- Conference titles: IEEE Sensor Array and Multichannel Signal Processing Workshop - SAM
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
- Licença: cc-by-nc-nd
-
ABNT
MARTINO, Luca et al. Adaptive population importance samplers: a general perspective. 2016, Anais.. Los Alamitos, CA: IEEE, 2016. Disponível em: https://doi.org/10.1109/SAM.2016.7569668. Acesso em: 02 set. 2025. -
APA
Martino, L., Elvira, V., Luengo, D., & Louzada, F. (2016). Adaptive population importance samplers: a general perspective. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/SAM.2016.7569668 -
NLM
Martino L, Elvira V, Luengo D, Louzada F. Adaptive population importance samplers: a general perspective [Internet]. Proceedings. 2016 ;[citado 2025 set. 02 ] Available from: https://doi.org/10.1109/SAM.2016.7569668 -
Vancouver
Martino L, Elvira V, Luengo D, Louzada F. Adaptive population importance samplers: a general perspective [Internet]. Proceedings. 2016 ;[citado 2025 set. 02 ] Available from: https://doi.org/10.1109/SAM.2016.7569668 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1109/SAM.2016.7569668 (Fonte: oaDOI API)
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