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.

Sign up for GitHub

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

Jump to bottom

Identifiability issues due to approximation to negative binomial #431

Closed
sbfnk opened this issue Jul 20, 2023 · 0 comments · Fixed by #432
Closed

Identifiability issues due to approximation to negative binomial #431

sbfnk opened this issue Jul 20, 2023 · 0 comments · Fixed by #432

Comments

@sbfnk
Copy link
Contributor

sbfnk commented Jul 20, 2023

We currently approximate the negative binomial with a poisson for very small levels of overdispersion. This causes a discontinuity in the likelihood surface and renders the overdispersion parameter unidentifiable at such levels. This is behind some of the issues mentioned in #424 and the recovery failures identified in #349.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Assignees
No one assigned
Labels
None yet
Projects
None yet
Milestone
No milestone
Development

Successfully merging a pull request may close this issue.

don't defer negative binomial to Poisson at low levels of overdispersion epiforecasts/EpiNow2
1 participant
@sbfnk