
JAGS
 Referenced in 209 articles
[sw08040]
 Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS ... freely modify and redistribute it under certain conditions (see the file COPYING for details...

BEAST
 Referenced in 47 articles
[sw12588]
 without conditioning on a single tree topology. BEAST 2 uses Markov chain Monte Carlo (MCMC...

convexity
 Referenced in 1 article
[sw36571]
 posterior probability is estimated using Monte Carlo simulation. We offer three variance reduction methods ... change of measure, acceptancerejection, and conditional Monte Carlo. Numerical experiments suggest that the conditional...

Church
 Referenced in 50 articles
[sw08946]
 defined in terms of evaluation histories and conditional distributions on such histories. Church also includes ... Church program, exactly and approximately, using Monte Carlo techniques...

AntNet
 Referenced in 66 articles
[sw11975]
 distributed, mobile agents based Monte Carlo system that was inspired by recent work ... showed superior performance under all the experimental conditions with respect to its competitors. We analyze...

MaBoSS
 Referenced in 3 articles
[sw34208]
 each node. Given some initial conditions, MaBoSS applies MonteCarlo kinetic algorithm (or Gillespie algorithm...

exactLoglinTest
 Referenced in 3 articles
[sw25926]
 conditioning on minimal sufficient statistics to remove nuisance parameters. A Monte Carlo algorithm is proposed...

TRasch
 Referenced in 9 articles
[sw09516]
 tests for the Rasch model. A Monte Carlo algorithm realizing a family of nonparametric tests ... Rasch model is introduced which are conditional on the item and subject marginals. The algorithm...

DL_MONTE
 Referenced in 2 articles
[sw37767]
 generalpurpose software package for performing Monte Carlo simulations. It includes a wide variety ... Here we provide an overview of DL_MONTE, focusing on key features recently added ... slit’ or `slab’ boundary conditions); the latticeswitch Monte Carlo (LSMC) method for evaluating precise...

CARBayes
 Referenced in 9 articles
[sw15288]
 Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial ... random effects, which are assigned a conditional autoregressive (CAR) prior distribution. A number of different...

BGX
 Referenced in 14 articles
[sw06935]
 employs a novel adaptive Markov chain Monte Carlo (MCMC) algorithm that raises considerably the efficiency ... down regulated genes between two conditions...

BDgraph
 Referenced in 11 articles
[sw14815]
 problem is Gaussian graphical modeling, which describes conditional independence of variables through the presence ... transdimensional Markov Chain Monte Carlo (MCMC) approach based on a continuoustime birthdeath...

polyapost
 Referenced in 2 articles
[sw31735]
 Markov chain Monte Carlo (hitandrun algorithm) a Dirichlet distribution conditioned to satisfy...

NRMC
 Referenced in 1 article
[sw28336]
 extension of the usual Reverse Monte Carlo method to obtain structural models of confined fluids ... under conditions of tight confinement. Most of the computational time in Reverse Monte Carlo modeling...

iNA
 Referenced in 4 articles
[sw17973]
 descriptions of biochemical dynamics under wellmixed conditions are given by the Chemical Master Equation ... equivalent. The latter is a MonteCarlo method, which, despite enjoying broad availability...

CEASE
 Referenced in 1 article
[sw27639]
 triggering condition in CEASE is monitored at discretetime steps. MonteCarlo simulations on randomized...

Venture
 Referenced in 9 articles
[sw14670]
 execution histories of Venture programs. PETs capture conditional dependencies, existential dependencies and exchangeable coupling. Third ... proposals based on particle Markov chain Monte Carlo and meanfield variational inference techniques...

GATE
 Referenced in 4 articles
[sw10576]
 simulation toolkit for PET and SPECT. Monte Carlo simulation is an essential tool in emission ... simulate time curves under realistic acquisition conditions and to test dynamic reconstruction algorithms. A public...

CARBayesST
 Referenced in 2 articles
[sw15512]
 Bayesian setting using Markov chain Monte Carlo (McMC) simulation. The response variable can be binomial ... modelled by random effects, which are assigned conditional autoregressive (CAR) style prior distributions. A number...

isingLenzMC
 Referenced in 0 articles
[sw15777]
 Glauber Monte Carlo with single flip dynamics in periodic boundary conditions. Utility functions for exact...