• 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, acceptance-rejection, 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 Monte-Carlo 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...
  • T-Rasch

  • 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]
  • general-purpose 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 lattice-switch 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 ... trans-dimensional Markov Chain Monte Carlo (MCMC) approach based on a continuous-time birth-death...
  • polyapost

  • Referenced in 2 articles [sw31735]
  • Markov chain Monte Carlo (hit-and-run 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 well-mixed conditions are given by the Chemical Master Equation ... equivalent. The latter is a Monte-Carlo method, which, despite enjoying broad availability...
  • CEASE

  • Referenced in 1 article [sw27639]
  • triggering condition in CEASE is monitored at discrete-time steps. Monte-Carlo 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 mean-field 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...