JOSS Papers: Bayesian inference

All Papers
3124
 Published Papers
2792
 Active Papers
332
published Published over 1 year ago

flowMC: Normalizing flow enhanced sampling package for probabilistic inference in JAX

Python
@kazewong
10.21105/joss.05021
published Published almost 2 years ago

MParT: Monotone Parameterization Toolkit

C++ Objective-C MATLAB
@mparno
10.21105/joss.04843
published Published about 2 years ago

geostan: An R package for Bayesian spatial analysis

R C++ Stan
@ConnorDonegan
10.21105/joss.04716
published Published about 2 years ago

DataAssimilationBenchmarks.jl: a data assimilation research framework.

Julia Python
@cgrudz
10.21105/joss.04129
published Published about 2 years ago

pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Python
@minaskar
10.21105/joss.04634
published Published over 2 years ago

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

R
@flyaflya
10.21105/joss.04415
published Published over 2 years ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published over 2 years ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published over 2 years ago

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Python Mako
@yannikschaelte
10.21105/joss.04304
published Published over 2 years ago

pymdp: A Python library for active inference in discrete state spaces

Python MATLAB
@conorheins
10.21105/joss.04098
Displaying papers 11 - 20 of 41 in total

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