You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Poissons are only defined for rate parameters > 0. But it might well be that the histograms contain bins in which the total expected rate is 0 (perhaps the binning was chosen to include bins that never get filled).
Arguably those should be filtered out -- or we leave it up to the user, but then we should print a warning.
The text was updated successfully, but these errors were encountered:
@lukasheinrich So if I understand the idea, you're saying that as the p.mf. for the Poisson distribution is
then for bins with the p.m.f. is 0 and so they should be filtered out of the model as they don't contribute. I would think that this is the correct behavior, but can you or @kratsg think of instances in which they should not be? If so I guess I would think the default behavior should still be to filter them out but allow the user to pass some option that overrides this with a warning.
For Poissons, we have to filter them out. What's not clear to me is how the code is affected. I guess this is introducing some of the "divide by zero encountered" errors that we see from time to time.
Description
Poissons are only defined for rate parameters > 0. But it might well be that the histograms contain bins in which the total expected rate is 0 (perhaps the binning was chosen to include bins that never get filled).
Arguably those should be filtered out -- or we leave it up to the user, but then we should print a warning.
The text was updated successfully, but these errors were encountered: