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changed ar1 logp to use ar1 precision instead of innovation precision #3899

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merged 13 commits into from
Jun 11, 2020
1 change: 1 addition & 0 deletions RELEASE-NOTES.md
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- End of sampling report now uses `arviz.InferenceData` internally and avoids storing
pointwise log likelihood (see [#3883](https://github.com/pymc-devs/pymc3/pull/3883)).
- The multiprocessing start method on MacOS is now set to "forkserver", to avoid crashes (see issue [#3849](https://github.com/pymc-devs/pymc3/issues/3849), solved by [#3919](https://github.com/pymc-devs/pymc3/pull/3919)).
- The AR1 logp now uses the precision of the whole AR1 process instead of just the innovation precision (see issue [#3892](https://github.com/pymc-devs/pymc3/issues/3892), fixed by [#3899](https://github.com/pymc-devs/pymc3/pull/3899)).
- Forced the `Beta` distribution's `random` method to generate samples that are in the open interval $(0, 1)$, i.e. no value can be equal to zero or equal to one (issue [#3898](https://github.com/pymc-devs/pymc3/issues/3898) fixed by [#3924](https://github.com/pymc-devs/pymc3/pull/3924)).
- Fixed an issue that happened on Windows, that was introduced by the clipped beta distribution rvs function ([#3924](https://github.com/pymc-devs/pymc3/pull/3924)). Windows does not support the `float128` dtype, but we had assumed that it had to be available. The solution was to only support `float128` on Linux and Darwin systems (see issue [#3929](https://github.com/pymc-devs/pymc3/issues/3849) fixed by [#3930](https://github.com/pymc-devs/pymc3/pull/3930)).

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