JOSS Papers: Markov-chains

All Papers
3361
 Published Papers
2962
 Active Papers
399
published Published 8 months ago

ChainoPy: A Python Library for Discrete Time Markov Chain Based Stochastic Analysis

Jupyter Notebook Python Cython
@aadya940
10.21105/joss.06880
published Published 9 months ago

dsmmR: Estimation and Simulation of Drifting Semi-Markov Models

R
@Mavrogiannis-Ioannis
10.21105/joss.05572
published Published 10 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 almost 2 years ago

PxMCMC: A Python package for proximal Markov Chain Monte Carlo

Python
@auggiemarignier
10.21105/joss.05582
published Published almost 2 years ago

smmR: A Semi-Markov R package

R C++
@corentin-dev
10.21105/joss.04365
published Published about 3 years ago

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

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

compareMCMCs: An R package for studying MCMC efficiency

R
@perrydv
10.21105/joss.03844
published Published almost 4 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 almost 6 years ago

fmcmc: A friendly MCMC framework

R C++
@gvegayon
10.21105/joss.01427
Displaying papers 1 - 10 of 11 in total

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ISSN 2475-9066