# Distributions.jl: Definition and Modeling of Probability Distributions   in the JuliaStats Ecosystem

**Authors:** Mathieu Besan\c{c}on, Theodore Papamarkou, David Anthoff, Alex Arslan,, Simon Byrne, Dahua Lin, John Pearson

arXiv: 1907.08611 · 2021-08-12

## TL;DR

Distributions.jl is a Julia package that offers efficient, flexible tools for defining and manipulating probability distributions, facilitating statistical modeling and analysis within the Julia ecosystem.

## Contribution

It introduces a comprehensive Julia package that simplifies the creation and use of probability distributions with high performance and flexibility.

## Key findings

- Provides a user-friendly interface for probability distributions in Julia
- Achieves high efficiency through zero-cost abstractions
- Enhances statistical modeling capabilities in Julia

## Abstract

Random variables and their distributions are a central part in many areas of statistical methods. The Distributions.jl package provides Julia users and developers tools for working with probability distributions, leveraging Julia features for their intuitive and flexible manipulation, while remaining highly efficient through zero-cost abstractions.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/1907.08611/full.md

## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1907.08611/full.md

## References

47 references — full list in the complete paper: https://tomesphere.com/paper/1907.08611/full.md

---
Source: https://tomesphere.com/paper/1907.08611