
arXiv: 1907.08611
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.
FOS: Computer and information sciences, sampling, inference, probabilistic programming, distributions, Statistics, Julia, KDE, modeling, Statistics - Computation, QA273-280, 004, HA1-4737, mixture, QA76.75-76.765, interface, Computer Science - Mathematical Software, Mathematical Software (cs.MS), Computation (stat.CO)
FOS: Computer and information sciences, sampling, inference, probabilistic programming, distributions, Statistics, Julia, KDE, modeling, Statistics - Computation, QA273-280, 004, HA1-4737, mixture, QA76.75-76.765, interface, Computer Science - Mathematical Software, Mathematical Software (cs.MS), Computation (stat.CO)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 51 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
