JuliaBUGS: A Graph-Based Probabilistic Programming Language using BUGS syntax
summary
JuliaBUGS.jl implements the classic BUGS syntax as a Julia package and represents models as explicit computation graphs so inference engines can operate on the graph directly. It combines a faithful parser for BUGS models with Julia’s compiler and numeric libraries, adds modern samplers such as Hamiltonian Monte Carlo, and exposes hooks for extension and optimization. The claim is a maintainable, extensible BUGS-compatible PPL that runs in the Julia ecosystem and enables graph-based probabilistic modeling and research.
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