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## 🐛 Bug
The method log_prob is wrongly implemented in the negative binomial distribution if one assumes that the attribute probs is the event probability of failures as stated in the documentary.
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This one's unrelated to the review – the more I play with TREvoSim, the more use cases I'm seeing for it!
One thing I'd like to do is to simulate some datasets where different characters have differe…
ms609 updated
4 months ago
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When an generating an animation, the time for adding a new frame to the animation always increases. That is, each iteration is slower than the previous one.
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For every tagged version of Stan, there's a txt file with all the functions. For the latest tag, it's here:
https://raw.githubusercontent.com/stan-dev/stan/v2.9.0/doc/stan-functions-2.9.0.txt
I'm try…
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The Census Bureau has used synthetic data in the past, for example in producing a [synthetic SIPP](https://www.census.gov/programs-surveys/sipp/guidance/sipp-synthetic-beta-data-product.html). I revie…
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This is related to #82 but should be it’s own issue.
Currently we rely on users to use the model weights to create the appropriate mixture of predictive distributions. We should recommend (and dem…
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Hi all !
First thanks for your awesome package !
Otherwise, do you plan handling gradients in stochastic computation graph, *i.e.* graph with conditional probability distributions such as
```ju…
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I recently added checks to verify computed probability gains in FSS ERF calculations. Our unit tests, which use random rates and dates of last events, sometimes now fail because BPT_DistCalc returns a…
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References :-
https://machinelearningmastery.com/how-to-code-the-students-t-test-from-scratch-in-python/
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I'm opening this issue to trigger the discussion on the best methods to analyze, interpret, and compare the performance results obtained by the methods decided in #6 .
Right now, `buildfarm_perf_te…