Bayesos
Bayesos is a hypothetical programming language designed for Bayesian statistical modeling and inference. Its core principles are rooted in Bayesian probability theory, aiming to provide a more intuitive and direct way for researchers and data scientists to express and perform probabilistic analyses. The language would likely feature syntax that directly maps to common Bayesian concepts such as prior distributions, likelihood functions, and posterior distributions.
The design of Bayesos would emphasize clarity and expressiveness for probabilistic models. Users could potentially define
Key features of Bayesos might include built-in support for a wide range of probability distributions, tools