MapReduce particle filtering with exact resampling and deterministic runtime

Particle filtering is a numerical Bayesian technique that has great potential for solving sequential estimation problems involving non-linear and non-Gaussian models. Since the estimation accuracy achieved by particle filters improves as the number of particles increases, it is natural to consider a...

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Detalles Bibliográficos
Autores principales: Thiyagalingam, Jeyarajan, Kekempanos, Lykourgos, Maskell, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2017
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959401/
https://www.ncbi.nlm.nih.gov/pubmed/32010202
http://dx.doi.org/10.1186/s13634-017-0505-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959401/
https://www.ncbi.nlm.nih.gov/pubmed/32010202
http://dx.doi.org/10.1186/s13634-017-0505-9

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