• Mcmcpack

  • Referenced in 63 articles [sw07974]
  • MCMCpack: Markov chain Monte Carlo (MCMC) Package. This package contains functions to perform Bayesian inference...
  • CosmoMC

  • Referenced in 43 articles [sw16206]
  • Fortran 2008 Markov-Chain Monte-Carlo (MCMC) engine for exploring cosmological parameter space, together with ... Fortran and python code for analysing Monte-Carlo samples and importance sampling (plus a suite...
  • MrBayes

  • Referenced in 60 articles [sw07715]
  • evolutionary models. MrBayes uses Markov chain Monte Carlo (MCMC) methods to estimate the posterior distribution...
  • TwoCop

  • Referenced in 60 articles [sw12359]
  • Finite sample properties are assessed with Monte Carlo experiments. We apply the testing procedure...
  • BEAST

  • Referenced in 59 articles [sw12588]
  • topology. BEAST 2 uses Markov chain Monte Carlo (MCMC) to average over tree space...
  • emcee

  • Referenced in 57 articles [sw20217]
  • invariant ensemble sampler for Markov chain Monte Carlo (MCMC) proposed by Goodman & Weare...
  • rstan

  • Referenced in 54 articles [sw16103]
  • Bayesian statistical inference via Markov Chain Monte Carlo, rough Bayesian inference via variational approximation...
  • Church

  • Referenced in 54 articles [sw08946]
  • Church program, exactly and approximately, using Monte Carlo techniques...
  • MCNP

  • Referenced in 36 articles [sw07836]
  • MCNP-A General Monte Carlo N-Particle Transport Code. Monte Carlo N-Particle Transport Code...
  • PyMC

  • Referenced in 51 articles [sw10482]
  • fitting algorithms, including Markov chain Monte Carlo. Its flexibility and extensibility make it applicable...
  • Nimrod/G

  • Referenced in 50 articles [sw09657]
  • large-scale distributed parameter sweep and Monte-Carlo computational experiments. Nimrod/G provides a simple means...
  • MultiNest

  • Referenced in 50 articles [sw10481]
  • itself significantly outperformed existing Markov chain Monte Carlo techniques in a wide range of astrophysical...
  • rhalton

  • Referenced in 35 articles [sw20515]
  • Halton algorithm in R. Randomized quasi-Monte Carlo (RQMC) sampling can bring orders of magnitude ... reduction in variance compared to plain Monte Carlo (MC) sampling. The extent of the efficiency...
  • MONACO

  • Referenced in 34 articles [sw20793]
  • optimized implementation of the direct simulation Monte Carlo method. This paper describes a new concept ... implementation of the direct simulation Monte Carlo (DSMC) method. It uses a localized data structure...
  • TREESPH

  • Referenced in 72 articles [sw14217]
  • hydrodynamic properties are determined using a Monte Carlo-like approach known as smoothed particle hydrodynamics...
  • PSEUDORAN

  • Referenced in 43 articles [sw11838]
  • number generators. Nature of problem: Any Monte Carlo calculation requiring uniform pseudorandom numbers. Solution method...
  • Herwig++

  • Referenced in 43 articles [sw10350]
  • Herwig++ version 2.2, a general-purpose Monte Carlo event generator for the simulation of hard...
  • mcmcse

  • Referenced in 24 articles [sw08171]
  • package mcmcse: Monte Carlo Standard Errors for MCMC. mcmcse provides tools for computing Monte Carlo ... standard errors (MCSE) in Markov chain Monte Carlo (MCMC) settings. MCSE computation for expectation ... effective sample size and for plotting Monte Carlo estimates versus sample size...
  • dlm

  • Referenced in 30 articles [sw04503]
  • models are reminded, and Markov chain Monte Carlo methods are presented. Chapter ... last chapter is on sequential Monte Carlo methods...
  • SHERPA

  • Referenced in 39 articles [sw09541]
  • Sherpa is a Monte Carlo event generator for the Simulation of High-Energy Reactions...