JOSS Papers: Bayesian Inference

All Papers
3387
 Published Papers
2977
 Active Papers
410
published Published about 4 hours 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 month ago

sbi reloaded: a toolkit for simulation-based inference workflows

Python
@janfb
10.21105/joss.07754
published Published 3 months ago

4DModeller: a spatio-temporal modelling package

R
@rwestaway
10.21105/joss.07047
published Published 3 months ago

pyMechT: A Python package for mechanics of soft tissues

Python
@ankushaggarwal
10.21105/joss.07490
published Published 3 months ago

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

Python
@darrenjw
10.21105/joss.07491
published Published 4 months ago

SBIAX: Density-estimation simulation-based inference in JAX

Python Roff
@homerjed
10.21105/joss.07606
published Published 5 months ago

PeakPerformance - A tool for Bayesian inference-based fitting of LC-MS/MS peaks

Python
@MicroPhen
10.21105/joss.07313
published Published 6 months ago

SpatialGEV: Fast Bayesian inference for spatial extreme value models in R

R C++
@meixichen
10.21105/joss.06878
published Published 10 months ago

InvertibleNetworks.jl: A Julia package for scalable normalizing flows

Julia
@rafaelorozco
10.21105/joss.06554
published Published about 1 year ago

GrainLearning: A Bayesian uncertainty quantification toolbox for discrete and continuum numerical models of granular materials

Python PureBasic Jupyter Notebook
@luisaforozco
10.21105/joss.06338
Displaying papers 1 - 10 of 48 in total

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ISSN 2475-9066