# Random variables in Julia (working list)

**URL:** <https://discourse.julialang.org/t/random-variables-in-julia-working-list/48762>\
**Category:** Statistics\
**Tags:** distributions\
**Created:** [October 21, 2020, 5:18pm UTC](https://discourse.julialang.org/t/random-variables-in-julia-working-list/48762 "2020-10-21T17:18:20Z")\
**Posts on this page:** 1\
**Showing post:** 28

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**Author:** ![Albert\_Zevelev](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/albert_zevelev/32/11844_2.png) [@Albert\_Zevelev](https://discourse.julialang.org/u/Albert_Zevelev)\
**Post date:** [December 1, 2021, 3:43am UTC](https://discourse.julialang.org/t/random-variables-in-julia-working-list/48762/28 "2021-12-01T03:43:39Z")

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@mlkrock added a repo w/ a 7-parameter distribution

> [@\[ANN\] BulkAndTails.jl](https://discourse.julialang.org/t/ann-bulkandtails-jl/72310):
>
> Hello. I’ve just registered [BulkAndTails.jl](https://github.com/mlkrock/BulkAndTails.jl), which offers an interface for the seven-parameter Bulk-And-Tails (BATs) distribution in the style of [Distributions.jl](https://github.com/JuliaStats/Distributions.jl). BATs was recently introduced in [Stein 2021](https://onlinelibrary.wiley.com/doi/abs/10.1002/env.2658) to model an entire univariate distribution when extremes (i.e., tails) are of interest. Traditional methods for extremes, such as Distributions.GeneralizedPareto or Distributions.GeneralizedExtremeValue, ignore the bulk (i.e., nonextremes) of the data, and separate analyses must be performed…

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