One of the nice features of Distributions.jl is the ability to create new transformed distributions from existing distributions.
-
MixtureModel([Normal(0,1),Cauchy(0,1)], [0.5,0.5])
returns a new random variable -
Truncated(Cauchy(0,1), 0.25, 1.8)
-
convolve(Cauchy(0,1), Cauchy(5,2))
A recent PR proposes folded distributions.
This is cool b/c it automatically allows the user to access a large number of distributions:
folded-Cauchy/folded-normal/Half-Cauchy/half-logistic/half-normal etc
There has been discussion about a generic ZeroInflated distribution here, here, here
Are there other important transformations of random variables not considered yet?
Maybe CensoredDistribution, Conditioned & Derived Statistical Distributions can provide some inspiration?