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

Link to the new warnings page from diagnose output #1096

Open
martinmodrak opened this issue May 14, 2022 · 0 comments
Open

Link to the new warnings page from diagnose output #1096

martinmodrak opened this issue May 14, 2022 · 0 comments

Comments

@martinmodrak
Copy link

Summary:

The new warning page (https://mc-stan.org/misc/warnings.html) hopefully provides better context for understanding and diagnosing warnings from diagnose output (divergences, treedepth, ...). So the current short description and hints (e.g. increase adapt_delta or reparametrize) should be replaced with a link to the site.

Description:

Describe the issue as clearly as possible.

Current Output:

9 of 4000 (0.23%) transitions ended with a divergence.
These divergent transitions indicate that HMC is not fully able to explore the posterior distribution.
Try increasing adapt delta closer to 1.
If this doesn't remove all divergences, try to reparameterize the model.

Checking E-BFMI - sampler transitions HMC potential energy.
The E-BFMI, 0.078, is below the nominal threshold of 0.3 which suggests that HMC may have trouble exploring the target distribution.
If possible, try to reparameterize the model.

The following parameters had split R-hat greater than 1.1:
  y
Such high values indicate incomplete mixing and biased estimation.
You should consider regularizing your model with additional prior information or a more effective parameterization.

Proposed Output:

9 of 4000 (0.23%) transitions ended with a divergence.
These divergent transitions indicate that HMC is not fully able to explore the posterior distribution.

Checking E-BFMI - sampler transitions HMC potential energy.
The E-BFMI, 0.078, is below the nominal threshold of 0.3 which suggests that HMC may have trouble exploring the target distribution.

The following parameters had split R-hat greater than 1.1:
  y
Such high values indicate incomplete mixing and biased estimation.

Visit https://mc-stan.org/misc/warnings.html for a more thorough description of what the warnings mean and hints how to resolve the issues.

Current Version:

v2.29.2

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

1 participant