JOSS Papers: Bayesian inference

All Papers
1975
 Published Papers
1753
 Active Papers
222
published Published about 1 month ago

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

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

GPJax: A Gaussian Process Framework in JAX

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

swyft: Truncated Marginal Neural Ratio Estimation in Python

Jupyter Notebook Python
@bkmi
10.21105/joss.04205
published Published 3 months ago

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

Python Mako
@yannikschaelte
10.21105/joss.04304
published Published 5 months ago

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

Python MATLAB
@conorheins
10.21105/joss.04098
published Published 5 months ago

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

Python
@jeremiecoullon
10.21105/joss.04113
published Published 10 months ago

morse: an R-package to analyse toxicity test data

R Lua C
@sandrinecharles
10.21105/joss.03200
published Published 10 months ago

MUQ: The MIT Uncertainty Quantification Library

C++ Objective-C
@mparno
10.21105/joss.03076
published Published about 1 year ago

epimargin: A Toolkit for Epidemiological Estimation, Prediction, and Policy Evaluation

Python
@satejsoman
10.21105/joss.03464
published Published about 1 year ago

PyEI: A Python package for ecological inference

Python Jupyter Notebook
@karink520
10.21105/joss.03397
Displaying papers 1 - 10 of 26 in total

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