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Create non-trivial examples using aeppl's new log-probability features #8

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brandonwillard opened this issue Jun 10, 2021 · 2 comments
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documentation Improvements or additions to documentation enhancement New feature or request good first issue Good for newcomers help wanted Extra attention is needed important

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@brandonwillard
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brandonwillard commented Jun 10, 2021

I've just cut a new release of aeppl that includes the joint_logprob function and some basic constrained-to-unconstrained-space RandomVariable transforms. We can use those to create some non-trivial examples, tests, and comparisons.

@brandonwillard brandonwillard changed the title Let's use the new joint_logprob Let's use the new aeppl.joint_logprob Jun 10, 2021
@brandonwillard brandonwillard added enhancement New feature or request good first issue Good for newcomers help wanted Extra attention is needed labels Jun 10, 2021
@brandonwillard brandonwillard changed the title Let's use the new aeppl.joint_logprob Create non-trivial examples using new aeppl's log-probability features Jun 21, 2021
@brandonwillard brandonwillard changed the title Create non-trivial examples using new aeppl's log-probability features Create non-trivial examples using aeppl's new log-probability features Jun 21, 2021
@brandonwillard brandonwillard added documentation Improvements or additions to documentation important labels Jun 21, 2021
@rlouf
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rlouf commented Sep 2, 2021

#19 uses aeppl in combination with aehmc to sample from a linear regression model

@rlouf rlouf linked a pull request Sep 15, 2021 that will close this issue
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rlouf commented Apr 26, 2022

This notebook uses Aeppl's joint_logprob and a LogTransform.

@rlouf rlouf closed this as completed Apr 26, 2022
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