
PRISM
 Referenced in 255 articles
[sw01186]
 supports three probabilistic models: discretetime Markov chains, Markov decision processes and continuoustime Markov...

BUGS
 Referenced in 185 articles
[sw07885]
 analysis of complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

GMRFLib
 Referenced in 145 articles
[sw06641]
 statistical inference is only possible using Markov Chain Monte Carlo (MCMC) techniques. The preeminent experts...

Expokit
 Referenced in 104 articles
[sw00258]
 critical importance in the area of Markov chains and furthermore, the computed solution is subject ... computation of transient states of Markov chains...

spBayes
 Referenced in 125 articles
[sw10160]
 fitting such models involves computationally intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends...

MCQueue
 Referenced in 87 articles
[sw05198]
 MCQueue: educational software for Markov Chains and Queues (noncommercial use) This software package contains ... discretetime and continuoustime Markov chains up to 100 states. The other module calculates...

PEPA
 Referenced in 92 articles
[sw10692]
 editor and performance analysers which use Markov chain or ODE methods or simulation. Performance results...

CODA
 Referenced in 73 articles
[sw04290]
 MCMC , Output analysis and diagnostics for Markov Chain Monte Carlo simulations...

MLwiN
 Referenced in 57 articles
[sw04837]
 uses both maximum likelihood estimation and Markov Chain Monte Carlo (MCMC) methods. MLwiN is based...

OpenBUGS
 Referenced in 38 articles
[sw08316]
 system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based on the Gibbs...

JAGS
 Referenced in 37 articles
[sw08040]
 analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike...

MARCA
 Referenced in 22 articles
[sw00547]
 MARCA: Markov chain analyzer, a software package for Markov modeling MARCA is a software package ... facilitate the generation of large Markov chains and to compute transitent probability distributions...

SMART_
 Referenced in 24 articles
[sw04097]
 when the underlying process is a Markov chain. In addition, discreteevent simulation is always ... process, but certain classes of nonMarkov models can still be solved numerically. Finally, since...

APMC
 Referenced in 20 articles
[sw11483]
 verify quantitative properties on discrete Markov chains. We give a randomized algorithm to approximate...

SSS
 Referenced in 15 articles
[sw07794]
 which standard approaches such as Markov chain Monte Carlo (MCMC) methods are often infeasible...

SMCSolver
 Referenced in 10 articles
[sw15194]
 matrix of QBD type Markov chains as well as its steady state probability vector ... please refer to the paper Structured Markov chains solver: software tools by Bini, Meini, Steffe...

BEAST
 Referenced in 13 articles
[sw12588]
 single tree topology. BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree...

AMCMC
 Referenced in 12 articles
[sw01123]
 density function, by performing an adaptive Markov chain Monte Carlo (MCMC) algorithm, specifically adaptive Metropolis...

RINLA
 Referenced in 12 articles
[sw08014]
 compared with that obtained by Markov chain Monte Carlo, showing similar accuracy with only...

Mcmcpack
 Referenced in 11 articles
[sw07974]
 MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference...