JOSS Papers: bayesian-methods

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3542
 Published Papers
3081
 Active Papers
461
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
published Published over 1 year ago

DAPPER: Data Assimilation with Python: a Package for Experimental Research

Python Fortran
@patnr
10.21105/joss.05150
published Published over 5 years ago

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

Python
@SuperKam91
10.21105/joss.01809
published Published almost 6 years ago

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

R
@jkarreth
10.21105/joss.01722
published Published over 6 years ago

hIPPYlib: An Extensible Software Framework for Large-Scale Inverse Problems

Python C++ Jupyter Notebook
@uvilla
10.21105/joss.00940
Displaying 5 papers

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ISSN 2475-9066