JOSS Papers: probabilistic programming

All Papers
4084
 Published Papers
3706
 Active Papers
378
published Published 11 days ago

PyMC-Marketing: Bayesian Marketing Mix Models and Customer Analytics in Python

Python
@williambdean
10.21105/joss.10805
published Published about 3 years ago

PyVBMC: Efficient Bayesian inference in Python

Python
@Bobby-Huggins
10.21105/joss.05428
published Published about 4 years ago

Generative DAGs as an Interface Into Probabilistic Programming with the R Package causact

R
@flyaflya
10.21105/joss.04415
published Published over 5 years ago

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Python
@Jammy2211
10.21105/joss.02550
published Published over 7 years ago

ArviZ a unified library for exploratory analysis of Bayesian models in Python

Python R
@canyon289
10.21105/joss.01143
Displaying 5 papers

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ISSN 2475-9066