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The same discretization method can be applied to multiple kinds of continuous distribution.
Continuous distribution's approximation methods should take one of these methods as an argument, and the …
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```julia
julia> using Distributions
julia> logpdf(KSDist(1), 0.5)
ERROR: MethodError: no method matching pdf(::KSDist, ::Float64)
Closest candidates are:
pdf(::Chernoff, ::Real) at C:\Users\u…
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Is there any interest in adding `support`, `minimum`, and `maximum` methods for the multivariate distributions? `insupport` allows checking, but there are currently no methods for querying the support…
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I'd like to add support for the Poisson Binomial Distribution: https://en.wikipedia.org/wiki/Poisson_binomial_distribution
into the scipy.stats module. It could be placed under "scipy.stats.pbinom". …
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Looks like we need to pin `scipy
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### ❓ Question
I'm currently working on a project with my team, developing a MaskablePPO reinforcement learning model with MultiDiscrete action space. Since, our action space is really large, we want…
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Currently, discrete distributions support samples, where a specific value of a distribution is chosen at random. However, other stable properties of a distribution are also interesting and could be su…
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## 🐛 Bug
The Poisson distribution is a discrete distribution. As is the case with all other discrete distributions: `bernoulli` and `multinomial`, `torch.poisson` should also return a tensor with d…
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The current code solves dynamic programs with
* reward function `f(s, x)` and
* state transition function `g(s, x, e)`
where
1. `s` is an `N`-dimensional continuous state variable
2. `x` is…
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This ticket implements sampling from absolute orders of number fields using a discrete Gaussian distribution.
```
sage: from sage.stats.distributions.discrete_gaussian_lattice import DiscreteGaussi…