JOSS Papers: mcmc

All Papers
1824
 Published Papers
1636
 Active Papers
188
published Published about 1 month ago

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

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

compareMCMCs: An R package for studying MCMC efficiency

R
@perrydv
10.21105/joss.03844
published Published about 1 year ago

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

Batchfile Python Fortran
@shahmoradi
10.21105/joss.02741
published Published almost 2 years ago

uravu: Making Bayesian modelling easy(er)

Python
@arm61
10.21105/joss.02214
published Published over 2 years ago

emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

Python
@dfm
10.21105/joss.01864
published Published over 2 years ago

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

R
@jkarreth
10.21105/joss.01722
published Published almost 3 years ago

greta: simple and scalable statistical modelling in R

R
@goldingn
10.21105/joss.01601
published Published almost 3 years ago

fmcmc: A friendly MCMC framework

R C++
@gvegayon
10.21105/joss.01427
published Published almost 3 years ago

Model dispersion with PRISM; an alternative to MCMC for rapid analysis of models

Python
@1313e
10.21105/joss.01229
published Published almost 3 years ago

pymcmcstat: A Python Package for Bayesian Inference Using Delayed Rejection Adaptive Metropolis

Python Jupyter Notebook C++
@prmiles
10.21105/joss.01417
Displaying papers 1 - 10 of 15 in total

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