JOSS Papers: Bayesian inference

All Papers
4011
 Published Papers
3558
 Active Papers
452
published Published 17 days ago

aimz: Scalable probabilistic impact modeling

Python
@markean
10.21105/joss.09738
published Published 19 days ago

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

R Stan
@LnnnnYW
10.21105/joss.09458
published Published 4 months ago

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

Jupyter Notebook Python
@ArvidWeyrauch
10.21105/joss.09415
published Published 6 months ago

rmcmc: Robust Markov chain Monte Carlo methods in R

R Stan
@matt-graham
10.21105/joss.08594
published Published 6 months ago

Bamojax: Bayesian Modelling with JAX

Python Jupyter Notebook
@maxhinne
10.21105/joss.08642
published Published 12 months ago

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

Python
@ma-sadeghi
10.21105/joss.06256
published Published about 1 year ago

sbi reloaded: a toolkit for simulation-based inference workflows

Python
@janfb
10.21105/joss.07754
published Published about 1 year ago

4DModeller: a spatio-temporal modelling package

R
@rwestaway
10.21105/joss.07047
published Published about 1 year ago

pyMechT: A Python package for mechanics of soft tissues

Python
@ankushaggarwal
10.21105/joss.07490
published Published over 1 year ago

jax-smfsb: A Python library for stochastic systems biology modelling and inference

Python
@darrenjw
10.21105/joss.07491
Displaying papers 1 - 10 of 53 in total

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ISSN 2475-9066