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Continuous Bernoulli distribution can help the researchers transferring the discrete states to the continuous states in artificial intelligence and achieving accurate computations and predictions.
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I'm a big fan of your package 👍. I was curious if you might consider adding two new exponential family distributions for percent or compositional data: the Continuous Bernoulli and Continuous Categori…
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I think there is a mistake,
```julia
logpartition(::VagueContinuousBernoulli, exponentialfamily::ExponentialFamilyDistribution{ContinuousBernoulli}) =
log(2.0)
```
and it's supposed to be
…
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I am having an issue where TabDDPM does really well when the total number of variables are < 10-15, but for modest to high numbers of binary categorical variables (even over 100, although my goal is 1…
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Dear author, I don't quite understand one point. Is this representation Z discrete or continuous? If Z is discrete, why is the variational distribution Q simulated by Gaussian distribution instead of …
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We need to implement gradients of log partition functions for speed purposes. This is a relatively straightforward task that requires taking derivatives. It needs to be done for the entire list of dis…
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### Description
This RFC proposes implement large number of probability distributions. The purpose of this issue is to serve as a tracking issue for implement large number of probability distributi…
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The following pages of mine deal with random variate generation, Bernoulli factories, and exact sampling. They contain numerous algorithms for such sampling.
My audience for these articles is **…
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## Tell us about it
The current presentation of distributions on the PreliZ API page is too verbose, which is suitable for technical details but not very user-friendly.
## Thoughts on impleme…
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The samplers currently available work for continuous distributions, but I think there is not a sampler for discrete distributions.
I want to test a Bayesian variable selection algorithm that require…
ghost updated
9 years ago