• 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 quasi-Monte Carlo (RQMC) sampling can bring orders of magnitude reduction ... variance compared to plain Monte Carlo (MC) sampling. The extent of the efficiency gain varies...
  • iCar-PseCp

  • 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...
  • GUI-HDMR

  • 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 Monte-Carlo 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...
  • ASTRO-DF

  • 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 ASTRO-DF 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 pre-sampling. When using Monte Carlo sampling the user has the option ... approximation function. Pre-sampling 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 Metropolis-Hastings sampling ... Performs general Metropolis-Hastings 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...