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We want to implement a general truncation solution that works for any distribution, similar to the general censored API we have now. The machinary would probably be implemented in Aeppl: aesara-devs/aeppl#96 For an immediate solution all you need is the CDF of the skewnormal and you can implement it with an extra potential term and interval transform |
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This should now be available with |
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@ricardoV94, I'm wondering what would it take to implement a Truncated SkewNormal distribution?
The main use case I have is to use it to construct unimodal posterior approximations.
SkewNormal is necessary if we want to model posteriors that are skewed off from a Gaussian-like shape.
Truncated is necessary if we want to approximate bound posteriors, i.e. things that are positive-only.
Do you have guidance here?
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