DownloadProbabilistic programming and statistical computing are vibrant areas in the development of the Julia programming language, but the underlying infrastructure dramatically predates recent developments. The goal of MeasureTheory.jl is to provide Julia with the right vocabulary and tools for these tasks. In this package we introduce well-chosen foundational primitives centered around the notion of measure, density and conditional probability with powerful combinators and transforms intended to power and unify work on probabilistic programming and statistical computing within Julia. Check out our JuliaCon 2021 article detailing our ideas for and with this package.
Features
- MeasureTheory.jl is a package for building and reasoning about measures
- Probabilistic programming and statistical computing
- Julia with the right vocabulary and tools
- Well-chosen foundational primitives
- Notion of measure, density and conditional probability
- Power and unify work on probabilistic programming
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Data VisualizationLicense
MIT LicenseFollow MeasureTheory.jl
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