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

Recommendations for Implementing Importance Sampling #416

Open
zhangshengwangBJUT opened this issue Mar 13, 2024 · 1 comment
Open

Recommendations for Implementing Importance Sampling #416

zhangshengwangBJUT opened this issue Mar 13, 2024 · 1 comment

Comments

@zhangshengwangBJUT
Copy link

Hi Jonathan,
I am a user of chaospy, I found that in your paper "Chaospy: An open source tool for designing methods of uncertainty quantification" published in Journal of Computational Science 2015, you mentioned some different sampling schemes available. In chaospy, I can find most of the schemes except the Importance sampling method, which is a significant way to reduce variance. Could you give me some help to find it? If chaospy has not yet been implemented, I would like to suggest upgrading the functon.
Thanks very much!
Best regards,
Green

@jonathf
Copy link
Owner

jonathf commented Apr 9, 2024

There was a rudementary feature for importance sampling back in 2015. Unfortunatly the feature did not work very well and had to be deprecated. If we are to add it back, then we'll have to start from scratch as Chaospy's infrastructure is quite different today as it were back then.

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

No branches or pull requests

2 participants