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Blended particle filters for large-dimensional chaotic dynamical systems
A major challenge in contemporary data science is the development of statistically accurate particle filters to capture non-Gaussian features in large-dimensional chaotic dynamical systems. Blended particle filters that capture non-Gaussian features in an adaptively evolving low-dimensional subspace...
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| Main Authors: | , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
National Academy of Sciences
2014
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4040593/ https://ncbi.nlm.nih.gov/pubmed/24825886 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.1405675111 |
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