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I'm trying to fit a HMM to my data and I've reduce the problem to a MWE, I'll update if I can reduce it further.
```julia
using HMMBase #v1.0.6
using Distributions
using Random
model = Mixtu…
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```julia
julia> logpdf(KSOneSided(1), 0.5)
ERROR: MethodError: no method matching pdf(::KSOneSided, ::Float64)
Closest candidates are:
pdf(::Chernoff, ::Real) at C:\Users\user\.julia\packages\Di…
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Hello,
I get the following error when trying to import msmexplorer
**ImportError: cannot import name '_scipy_univariate_kde' from 'seaborn.distributions'**
I reinstalled seaborn with pip, pip3…
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If I try to create a product distribution from a discrete distribution and a continuous distribution I get the following error:
```
julia> using Distributions
julia> discrete = DiscreteUniform(…
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### What is the idea?
the UserDefined distribution name is rather vague, I propose to rename to Categorical or generalized Bernoulli,
that's what we can find in the litterature:
https://en.wikipe…
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In cases of poor initialization, some components of the mixture may drop out. For example, let's create a 2-component mixture that is very poorly initialized:
```julia
julia> X = randn(10);
julia…
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I am following the docs to implement a multivariate distribution, however, once defining _rand! I assumed rand would also work, but this turns out not to be the case:
```
julia> _rand!(foo,Array{Floa…
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Hello,
I was blithely trying to construct JointOrderStatistics for a discrete univariate distribution, ignoring the very clear documentation that only continuous univariate distributions are suppor…
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On the `latest` version of the documentation, the following docstring is missing as there is no method with this signature defined. It looks like this should be `loglikelihood(::UnivariateDistribution…
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Hi, it seems that
```julia
nu = 3f0
rand(TDist(nu))
```
returns a `Float64` instead of a `Float32`. Is this intended behavior? I find it unusual because the `rand` [implementation](https://githu…