JOSS Papers: bayesian inference

All Papers
4083
 Published Papers
3706
 Active Papers
377
published Published 12 days ago

PyMC-Marketing: Bayesian Marketing Mix Models and Customer Analytics in Python

Python
@williambdean
10.21105/joss.10805
published Published about 1 month ago

priorsense: Efficient prior and likelihood sensitivity checks for Bayesian models in R

R
@n-kall
10.21105/joss.11036
published Published 2 months ago

posterior: Tools for Working with Posterior Distributions in R

R
@paul-buerkner
10.21105/joss.10526
published Published 3 months ago

Numerics: A .NET Library for Numerical Computing, Statistical Analysis, and Risk Assessment

C#
@HadenSmith
10.21105/joss.10540
published Published 5 months ago

aimz: Scalable probabilistic impact modeling

Python
@markean
10.21105/joss.09738
published Published 5 months ago

BayCauRETM: R package for Bayesian Causal Inference for Recurrent Event Outcomes

R Stan
@LnnnnYW
10.21105/joss.09458
published Published 8 months ago

torch_blue: A Flexible Python Package for Bayesian Neural Networks in PyTorch

Jupyter Notebook Python
@ArvidWeyrauch
10.21105/joss.09415
published Published 10 months ago

rmcmc: Robust Markov chain Monte Carlo methods in R

R Stan
@matt-graham
10.21105/joss.08594
published Published 11 months ago

Bamojax: Bayesian Modelling with JAX

Python Jupyter Notebook
@maxhinne
10.21105/joss.08642
published Published over 1 year ago

AutoEIS: Automated equivalent circuit modeling from electrochemical impedance spectroscopy data using statistical machine learning

Python
@ma-sadeghi
10.21105/joss.06256
Displaying papers 1 - 10 of 57 in total

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