Comments (7)
@kevinchern sorry to add another thing to you plate, but do you mind looking at this when you have a chance? Thank you!
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:O.... on it!
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Looks like the current plotting template automatically includes a burn-in, whereas summaries do not.
I think we should make burn-ins consistent across outputs, or label the plots to indicate burn-in has been applied.
Also worth considering setting the default to 0 burn-in instead of 0.5.
@alexandrebouchard any suggestions?
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Most plot actually discard burn in right now. For example, in the posterior plotting code, the line
triggers the following which removes the burn in samples:
Ah I see, it's actually the other way around: summaries don't remove the burn in right now:
I think adding the burn in macro should do it. Do you mind giving it a try? Thanks again!
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Yep! Discarding burn-in from summaries gives consistent results.
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Resolved in #164
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Related Issues (20)
- Improve efficiency of sampling unobserved random variables with no directed path to data
- Migrate to jitpack HOT 1
- Add official support and testing for windows
- Add official support and testing for linux
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