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In the following paper, a method is presented to adapt the number of particles used in sequential Monte Carlo in an adaptive manner based on a statistical invariant that must be verified to ensure the estimated probability distribution is converging to the target probability. It would be a good idea to implement this adaptive method, or the concept of adaptivity, for the particle filter.
The text was updated successfully, but these errors were encountered:
Thank you very much! If you eventually find a student who wants to work on this, please do not hesitate to contact me. I would be happy to help, and one of the authors is my PhD supervisor, so he will probably be interested as well.
In the following paper, a method is presented to adapt the number of particles used in sequential Monte Carlo in an adaptive manner based on a statistical invariant that must be verified to ensure the estimated probability distribution is converging to the target probability. It would be a good idea to implement this adaptive method, or the concept of adaptivity, for the particle filter.
The text was updated successfully, but these errors were encountered: