Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Implement Adaptive Sequential Monte Carlo #71

Open
josemanuel22 opened this issue Aug 16, 2024 · 2 comments
Open

Implement Adaptive Sequential Monte Carlo #71

josemanuel22 opened this issue Aug 16, 2024 · 2 comments

Comments

@josemanuel22
Copy link
Contributor

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.

@zsunberg
Copy link
Member

Thanks for the suggestion! This is something that perhaps a student could implement in the future.

@josemanuel22
Copy link
Contributor Author

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.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants