Distributions.jl: Definition and Modeling of Probability Distributions in the JuliaStats Ecosystem
Autor: | Alex Arslan, John M. Pearson, Mathieu Besançon, Simon Byrne, Theodore Papamarkou, David Anthoff, Dahua Lin |
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Rok vydání: | 2019 |
Předmět: |
Statistics and Probability
FOS: Computer and information sciences Theoretical computer science Computer science Interface (Java) Sampling (statistics) Inference Statistics - Computation Julia distributions modeling interface mixture KDE sampling probabilistic programming inference QA273-280 QA76.75-76.765 Probability distribution Computer Science - Mathematical Software Statistics Probability and Uncertainty Random variable Mathematical Software (cs.MS) Software Computation (stat.CO) |
Zdroj: | Besançon, M, Papamarkou, T, Anthoff, D, Arslan, A, Byrne, S, Lin, D & Pearson, J 2021, ' Distributions.jl: definition and modeling of probability distributions in the JuliaStats ecosystem ', Journal of Statistical Software, vol. 98, no. 16 . https://doi.org/10.18637/jss.v098.i16 Journal of Statistical Software; Vol 98 (2021); 1-30 |
ISSN: | 1548-7660 |
DOI: | 10.48550/arxiv.1907.08611 |
Popis: | 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. |
Databáze: | OpenAIRE |
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