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Predictive posterior distributions #58

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caxelrud opened this issue Oct 23, 2021 · 3 comments · Fixed by #51
Closed

Predictive posterior distributions #58

caxelrud opened this issue Oct 23, 2021 · 3 comments · Fixed by #51
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enhancement New feature or request

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@caxelrud
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Is it possible to generate predictive posterior distribution after posteriors are available?

@bvdmitri
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bvdmitri commented Oct 25, 2021

Hey @caxelrud!

Unfortunately, at the moment ReactiveMP.jl doesn't provide predictive posterior out of the box. We plan to add this feature in the future. However, it should be possible to obtain the predictive posterior manually. For the different problems, you'd have a different solution to how to do that. If you provide a more specific example, we'll be glad to help you out.

But generally speaking, you can try to initialise the same model you've used for inference, but replace uninformative priors with the inferred posterior distributions to generate predictive posterior distribution. You will probably also need to replace observations with uninformative distributions, e.g. Gaussians with huge variance.

@svilupp
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svilupp commented Jun 17, 2022

+1

@albertpod albertpod self-assigned this Sep 14, 2022
@albertpod albertpod transferred this issue from ReactiveBayes/ReactiveMP.jl Feb 15, 2023
@albertpod albertpod linked a pull request Feb 15, 2023 that will close this issue
@albertpod albertpod moved this to 📝 In progress in RxInfer Feb 21, 2023
@albertpod albertpod added the enhancement New feature or request label Feb 28, 2023
@albertpod
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@bvdmitri, I will put this issue on hold until @ismailsenoz and I decide on how to incorporate this functionality generically. Some functionality is implemented in the dev-predict branch.

@albertpod albertpod removed the status in RxInfer Mar 6, 2023
@albertpod albertpod moved this to 🤔 Ideas in RxInfer Jun 1, 2023
@github-project-automation github-project-automation bot moved this from 🤔 Ideas to ✅ Done in RxInfer Sep 19, 2023
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4 participants