JOSS Papers: Markov Chain Monte Carlo

All Papers
3192
 Published Papers
2842
 Active Papers
350
published Published 7 months ago

nimbleHMC: An R package for Hamiltonian Monte Carlo sampling in nimble

R
@danielturek
10.21105/joss.06745
published Published over 1 year ago

BlackBIRDS: Black-Box Inference foR Differentiable Simulators

Python
@arnauqb
10.21105/joss.05776
published Published over 1 year ago

PxMCMC: A Python package for proximal Markov Chain Monte Carlo

Python
@auggiemarignier
10.21105/joss.05582
published Published almost 3 years ago

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

Python
@jeremiecoullon
10.21105/joss.04113
published Published about 3 years ago

compareMCMCs: An R package for studying MCMC efficiency

R
@perrydv
10.21105/joss.03844
published Published over 3 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 over 5 years ago

fmcmc: A friendly MCMC framework

R C++
@gvegayon
10.21105/joss.01427
published Published almost 8 years ago

walkr: MCMC Sampling from Non-Negative Convex Polytopes

R C++
@andyyao95
10.21105/joss.00061
Displaying 8 papers

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ISSN 2475-9066