JOSS Papers: mcmc

All Papers
4084
 Published Papers
3674
 Active Papers
410
published Published 16 days ago

bde: A Python Package for Bayesian Deep Ensembles via MILE

Python Jupyter Notebook
@EmanuelSommer
10.21105/joss.10653
published Published about 2 months ago

posterior: Tools for Working with Posterior Distributions in R

R
@paul-buerkner
10.21105/joss.10526
published Published about 1 year ago

PolytopeWalk: Sparse MCMC Sampling over Polytopes

C++ Python
@bsun1220
10.21105/joss.07957
published Published almost 2 years ago

skipTrack: An R package for Identifying Skips in Self-Tracked Mobile Menstrual Cycle Data

R
@LukeDuttweiler
10.21105/joss.06928
published Published over 2 years ago

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

Python
@jpmorgan98
10.21105/joss.06415
published Published about 3 years ago

PxMCMC: A Python package for proximal Markov Chain Monte Carlo

Python
@auggiemarignier
10.21105/joss.05582
published Published over 4 years ago

SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms

Python
@jeremiecoullon
10.21105/joss.04113
published Published over 4 years ago

compareMCMCs: An R package for studying MCMC efficiency

R
@perrydv
10.21105/joss.03844
published Published over 5 years ago

ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran

Python Fortran
@shahmoradi
10.21105/joss.02741
published Published about 6 years ago

uravu: Making Bayesian modelling easy(er)

Python
@arm61
10.21105/joss.02214
Displaying papers 1 - 10 of 21 in total

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ISSN 2475-9066