
boa
 Referenced in 91 articles
[sw04493]
 graphical analysis of Markov chain Monte Carlo sampling output...

BUGS
 Referenced in 370 articles
[sw07885]
 BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian ... complex statistical models using Markov chain Monte Carlo (MCMC) methods. The project began...

rhalton
 Referenced in 31 articles
[sw20515]
 algorithm in R. Randomized quasiMonte Carlo (RQMC) sampling can bring orders of magnitude reduction ... variance compared to plain Monte Carlo (MC) sampling. The extent of the efficiency gain varies...

iCarPseCp
 Referenced in 18 articles
[sw23951]
 identify carbonylation sites in proteins by Monte Carlo sampling and incorporating sequence coupled effects into ... balancing out skewed training dataset by Monte Carlo sampling to expand positive subset. Rigorous target...

GUIHDMR
 Referenced in 22 articles
[sw07924]
 input values can be any Monte Carlo sample (if the input parameters can be controlled...

CosmoMC
 Referenced in 20 articles
[sw16206]
 Fortran and python code for analysing MonteCarlo samples and importance sampling (plus a suite...

mcmcse
 Referenced in 21 articles
[sw08171]
 standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation ... sample size and for plotting Monte Carlo estimates versus sample size...

GSHMC
 Referenced in 16 articles
[sw02631]
 hybrid Monte Carlo (HMC) method is a popular and rigorous method for sampling from ... completely resamples the momentum after each Monte Carlo step, the generalized hybrid Monte Carlo (GHMC ... Otherwise an undesirable Zitterbewegung in the Monte Carlo samples is observed. In this paper ... methods. The proposed generalized shadow hybrid Monte Carlo (GSHMC) method is applicable...

TwoCop
 Referenced in 56 articles
[sw12359]
 Mises test statistic. Finite sample properties are assessed with Monte Carlo experiments. We apply...

AntHocNet
 Referenced in 14 articles
[sw28057]
 framework. Paths are learned by guided Monte Carlo sampling using ant‐like agents communicating...

rjags
 Referenced in 57 articles
[sw08039]
 Markov Chain Monte Carlo (MCMC) to generate a sequence of dependent samples from the posterior...

ASTRODF
 Referenced in 11 articles
[sw26833]
 observable as replicates from a Monte Carlo oracle. The Monte Carlo oracle is assumed ... sense that the extent of Monte Carlo sampling is determined by continuously monitoring and balancing ... that Monte Carlo effort within ASTRODF is sensitive to algorithm trajectory: sampling is higher ... iterates achieve the canonical Monte Carlo convergence rate, although a proof remains elusive...

MCINTYRE
 Referenced in 8 articles
[sw22925]
 successful approximate approach is based on Monte Carlo sampling, that consists in verifying the truth ... query in a normal program sampled from the probabilistic program. The ProbLog system includes such ... paper we propose an approach for Monte Carlo inference that is based on a program ... resulting system, called MCINTYRE for Monte Carlo INference wiTh Yap REcord, is evaluated on various...

tmg
 Referenced in 17 articles
[sw39813]
 Gaussians. We present a Hamiltonian Monte Carlo algorithm to sample from multivariate Gaussian distributions...

DECIS
 Referenced in 4 articles
[sw21978]
 employs Benders decomposition and advanced Monte Carlo sampling techniques. DECIS includes a variety of solution ... universe problem, the expected value problem, Monte Carlo sampling within the Benders decomposition algorithm ... Monte Carlo presampling. When using Monte Carlo sampling the user has the option ... approximation function. Presampling is limited to using crude Monte Carlo only...

Mcmcpack
 Referenced in 54 articles
[sw07974]
 MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference ... statistical distributions, a general purpose Metropolis sampling algorithm, and tools for visualization...

GetDist
 Referenced in 5 articles
[sw29994]
 analysing Monte Carlo samples, including correlated samples from Markov Chain Monte Carlo (MCMC). Point...

MHadaptive
 Referenced in 5 articles
[sw09336]
 Markov Chain Monte Carlo for Bayesian Inference using adaptive MetropolisHastings sampling ... Performs general MetropolisHastings Markov Chain Monte Carlo sampling of a user defined function which...

FRANz
 Referenced in 9 articles
[sw35294]
 estimated by Markov Chain Monte Carlo (MCMC) sampling. The accuracy of the algorithm is demonstrated...

HybridMC
 Referenced in 3 articles
[sw11204]
 Hybrid Monte Carlo and Multipoint Hybrid Monte Carlo sampling techniques. This package ... Hybrid Monte Carlo and Multipoint Hybrid Monte Carlo sampling techniques described in Liu (2001): ”Monte...