JOSS Papers: Bayesian inference

All Papers
1595
 Published Papers
1393
 Active Papers
202
published Published 18 days ago

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

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

PyEI: A Python package for ecological inference

Python Jupyter Notebook
@karink520
10.21105/joss.03397
published Published 5 months ago

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

Python
@D-K-E
10.21105/joss.03115
published Published 5 months ago

Bayesian X-ray Analysis (BXA) v4.0

Python
@JohannesBuchner
10.21105/joss.03045
published Published 6 months ago

UltraNest - a robust, general purpose Bayesian inference engine

Python C++ C Fortran
@JohannesBuchner
10.21105/joss.03001
published Published 8 months ago

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

Python
@Jammy2211
10.21105/joss.02550
published Published about 1 year ago

sbi: A toolkit for simulation-based inference

Python Jupyter Notebook
@janfb
10.21105/joss.02505
published Published over 1 year ago

Pakman: a modular, efficient and portable tool for approximate Bayesian inference

C++ C
@ThomasPak
10.21105/joss.01716
published Published over 1 year ago

Geometric nested sampling: sampling from distributions defined on non-trivial geometries

Python
@SuperKam91
10.21105/joss.01809
published Published about 2 years ago

PyCurious: A Python module for computing the Curie depth from the magnetic anomaly.

Jupyter Notebook Python C
@brmather
10.21105/joss.01544
Displaying papers 1 - 10 of 18 in total

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