JOSS Papers: Bayesian inference

All Papers
1825
 Published Papers
1636
 Active Papers
189
published Published 18 days ago

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

Python MATLAB
@conorheins
10.21105/joss.04098
published Published about 1 month ago

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

Python
@jeremiecoullon
10.21105/joss.04113
published Published 5 months ago

morse: an R-package to analyse toxicity test data

R Lua C
@sandrinecharles
10.21105/joss.03200
published Published 5 months ago

MUQ: The MIT Uncertainty Quantification Library

C++ Objective-C
@mparno
10.21105/joss.03076
published Published 9 months ago

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

Python
@satejsoman
10.21105/joss.03464
published Published 9 months ago

PyEI: A Python package for ecological inference

Python Jupyter Notebook
@karink520
10.21105/joss.03397
published Published about 1 year ago

PyGModels: A Python package for exploring Probabilistic Graphical Models with Graph Theoretical Structures

Python
@D-K-E
10.21105/joss.03115
published Published about 1 year ago

Bayesian X-ray Analysis (BXA) v4.0

Python
@JohannesBuchner
10.21105/joss.03045
published Published about 1 year ago

UltraNest - a robust, general purpose Bayesian inference engine

Python C++ C Fortran
@JohannesBuchner
10.21105/joss.03001
published Published over 1 year ago

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

Python
@Jammy2211
10.21105/joss.02550
Displaying papers 1 - 10 of 22 in total

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