JOSS Papers: Bayesian

All Papers
1255
 Published Papers
1108
 Active Papers
147
published Published 3 months ago

sbi: A toolkit for simulation-based inference

Python Jupyter Notebook
@janfb
10.21105/joss.02505
published Published 4 months ago

BGGM: Bayesian Gaussian Graphical Models in R

R M4 C++
@donaldRwilliams
10.21105/joss.02111
published Published 6 months ago

uravu: Making Bayesian modelling easy(er)

Python
@arm61
10.21105/joss.02214
published Published 7 months ago

BayesMFSurv: An R Package to Estimate Bayesian Split-Population Survival Models With (and Without) Misclassified Failure Events

R C++
@Nicolas-Schmidt
10.21105/joss.02164
published Published 9 months ago

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

C++ C
@ThomasPak
10.21105/joss.01716
published Published 10 months ago

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

Python
@SuperKam91
10.21105/joss.01809
published Published about 1 year ago

BayesPostEst: An R Package to Generate Postestimation Quantities for Bayesian MCMC Estimation

R
@jkarreth
10.21105/joss.01722
published Published over 1 year ago

bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

R
@DominiqueMakowski
10.21105/joss.01541
published Published over 1 year ago

greta: simple and scalable statistical modelling in R

R
@goldingn
10.21105/joss.01601
published Published over 1 year 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 27 in total

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