JOSS Papers: Bayesian inference

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2101
 Published Papers
1883
 Active Papers
218
published Published about 1 month ago

MParT: Monotone Parameterization Toolkit

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

geostan: An R package for Bayesian spatial analysis

R C++ Stan
@ConnorDonegan
10.21105/joss.04716
published Published 3 months ago

DataAssimilationBenchmarks.jl: a data assimilation research framework.

Julia Python
@cgrudz
10.21105/joss.04129
published Published 3 months ago

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

Python
@minaskar
10.21105/joss.04634
published Published 6 months ago

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

R
@flyaflya
10.21105/joss.04415
published Published 6 months ago

GPJax: A Gaussian Process Framework in JAX

Python
@thomaspinder
10.21105/joss.04455
published Published 6 months ago

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published 7 months ago

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

Python Mako
@yannikschaelte
10.21105/joss.04304
published Published 9 months ago

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

Python MATLAB
@conorheins
10.21105/joss.04098
published Published 9 months ago

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

Python
@jeremiecoullon
10.21105/joss.04113
Displaying papers 1 - 10 of 30 in total

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