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

被引：28

作者：

Besancon, Mathieu ^{[1
,8
,9
,10
,11
]}

Papamarkou, Theodore ^{[2
,12
,13
]}

Anthoff, David ^{[3
]}

Arslan, Alex ^{[4
]}

Byrne, Simon ^{[5
]}

Lin, Dahua ^{[6
]}

Pearson, John ^{[7
]}

机构：

[1] Zuse Inst Berlin, Berlin, Germany

[2] Univ Manchester, Dept Math, Manchester, Lancs, England

[3] Univ Calif Berkeley, Energy & Resources Grp, Berkeley, CA 94720 USA

[4] Beacon Biosignals Inc, Boston, MA USA

[5] CALTECH, Pasadena, CA 91125 USA

[6] Chinese Univ Hong Kong, Hong Kong, Peoples R China

[7] Duke Univ, Med Ctr, Dept Biostat & Bioinformat, Durham, NC USA

[8] Polytech Montreal, Dept Appl Math & Ind Engn, Montreal, PQ, Canada

[9] Ecole Cent Lille, Villeneuve Dascq, France

[10] INRIA Lille, INOCS, Villeneuve Dascq, France

[11] CRISTAL, Villeneuve Dascq, France

[12] Univ Tennessee, Dept Math, Knoxville, TN 37996 USA

[13] Oak Ridge Natl Lab, Computat Sci & Engn Div, Oak Ridge, TN USA

来源：

JOURNAL OF STATISTICAL SOFTWARE | 2021年 / 98卷 / 16期

关键词：

Julia; distributions; modeling; interface; mixture; KDE; sampling; probabilistic programming; inference;

D O I：

10.18637/jss.v098.116

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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.

引用

页码：1 / 30

页数：30

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