• BayesLogit

  • Referenced in 46 articles [sw09312]
  • analytic approximations, numerical integration, or Metropolis-Hastings; and (2) outperform other known data-augmentation strategies...
  • Monte Python

  • Referenced in 27 articles [sw41038]
  • observables. Several sampling methods are available: Metropolis-Hastings, Nested Sampling (through MultiNest), EMCEE (through CosmoHammer...
  • MontePython 3

  • Referenced in 13 articles [sw41933]
  • contributing to improve the performance of Metropolis-Hastings sampling: an adaptation algorithm for the jumping...
  • AdMit

  • Referenced in 8 articles [sw09498]
  • importance sampling or the independence chain Metropolis-Hastings algorithm is used to obtain quantities ... cases of importance sampling and the Metropolis-Hastings algorithm using a naive candidate and with...
  • Figaro

  • Referenced in 11 articles [sw28902]
  • classes. Figaro provides a modular, compositional Metropolis-Hastings algorithm, and gives the modeler optional control...
  • MHadaptive

  • Referenced in 7 articles [sw09336]
  • Carlo for Bayesian Inference using adaptive Metropolis-Hastings sampling. Performs general Metropolis-Hastings Markov Chain...
  • BayesEstDiffusion.jl

  • Referenced in 10 articles [sw40280]
  • define a random-walk type Metropolis-Hastings sampler for updating diffusion bridges. Our methods...
  • Venture

  • Referenced in 10 articles [sw14670]
  • general-purpose inference strategies such as Metropolis-Hastings, Gibbs sampling, and blocked proposals based...
  • Biips

  • Referenced in 5 articles [sw19385]
  • based algorithms (particle filters, particle independent Metropolis-Hastings, particle marginal Metropolis-Hastings) in a black...
  • MCMC

  • Referenced in 8 articles [sw03488]
  • provides tools to generate and analyse Metropolis-Hastings MCMC chain using multivariate Gaussian proposal distribution...
  • CosmoHammer

  • Referenced in 3 articles [sw21685]
  • typically based on the Metropolis-Hastings algorithm. Some of the required calculations can however ... from cosmic microwave background data. While Metropolis-Hastings is dominated by overheads, CosmoHammer is able...
  • MPPBLIB

  • Referenced in 4 articles [sw31099]
  • library for marked point processes: Exact Metropolis-Hastings sampling for marked point processes using...
  • sgmcmc

  • Referenced in 4 articles [sw21515]
  • Monte Carlo (MCMC) methods, such as Metropolis-Hastings, are known to run prohibitively slowly...
  • fabMix

  • Referenced in 4 articles [sw32111]
  • swap states using a Metropolis-Hastings move. Eight different parameterizations give rise to parsimonious representations...
  • MHTrajectoryR

  • Referenced in 3 articles [sw18786]
  • model space is huge, a Metropolis-Hastings algorithm carries out the model selection by maximizing...
  • hpHawkes

  • Referenced in 2 articles [sw38753]
  • core processing. Using a simple adaptive Metropolis-Hastings scheme, we apply our high-performance computing...
  • NPP

  • Referenced in 1 article [sw40841]
  • parameter is achieved via either independence Metropolis-Hastings or random walk Metropolis-Hastings based...
  • BClass

  • Referenced in 2 articles [sw26091]
  • entities classified within them. Using standard Metropolis-Hastings and Gibbs sampling algorithms, we constructed...
  • pmhtutorial

  • Referenced in 1 article [sw37184]
  • pmhtutorial: Minimal Working Examples for Particle Metropolis-Hastings. Routines for state estimate in a linear ... these models using the particle Metropolis-Hastings algorithm that includes the particle filter to provided...
  • glmdisc

  • Referenced in 1 article [sw33577]
  • added to the model through a Metropolis-Hastings algorithm (Hastings...