
BayesLogit
 Referenced in 46 articles
[sw09312]
 analytic approximations, numerical integration, or MetropolisHastings; and (2) outperform other known dataaugmentation strategies...

Monte Python
 Referenced in 27 articles
[sw41038]
 observables. Several sampling methods are available: MetropolisHastings, Nested Sampling (through MultiNest), EMCEE (through CosmoHammer...

MontePython 3
 Referenced in 13 articles
[sw41933]
 contributing to improve the performance of MetropolisHastings sampling: an adaptation algorithm for the jumping...

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

Figaro
 Referenced in 11 articles
[sw28902]
 classes. Figaro provides a modular, compositional MetropolisHastings algorithm, and gives the modeler optional control...

MHadaptive
 Referenced in 7 articles
[sw09336]
 Carlo for Bayesian Inference using adaptive MetropolisHastings sampling. Performs general MetropolisHastings Markov Chain...

BayesEstDiffusion.jl
 Referenced in 10 articles
[sw40280]
 define a randomwalk type MetropolisHastings sampler for updating diffusion bridges. Our methods...

Venture
 Referenced in 10 articles
[sw14670]
 generalpurpose inference strategies such as MetropolisHastings, Gibbs sampling, and blocked proposals based...

Biips
 Referenced in 5 articles
[sw19385]
 based algorithms (particle filters, particle independent MetropolisHastings, particle marginal MetropolisHastings) in a black...

MCMC
 Referenced in 8 articles
[sw03488]
 provides tools to generate and analyse MetropolisHastings MCMC chain using multivariate Gaussian proposal distribution...

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

MPPBLIB
 Referenced in 4 articles
[sw31099]
 library for marked point processes: Exact MetropolisHastings sampling for marked point processes using...

sgmcmc
 Referenced in 4 articles
[sw21515]
 Monte Carlo (MCMC) methods, such as MetropolisHastings, are known to run prohibitively slowly...

fabMix
 Referenced in 4 articles
[sw32111]
 swap states using a MetropolisHastings move. Eight different parameterizations give rise to parsimonious representations...

MHTrajectoryR
 Referenced in 3 articles
[sw18786]
 model space is huge, a MetropolisHastings algorithm carries out the model selection by maximizing...

hpHawkes
 Referenced in 2 articles
[sw38753]
 core processing. Using a simple adaptive MetropolisHastings scheme, we apply our highperformance computing...

NPP
 Referenced in 1 article
[sw40841]
 parameter is achieved via either independence MetropolisHastings or random walk MetropolisHastings based...

BClass
 Referenced in 2 articles
[sw26091]
 entities classified within them. Using standard MetropolisHastings and Gibbs sampling algorithms, we constructed...

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

glmdisc
 Referenced in 1 article
[sw33577]
 added to the model through a MetropolisHastings algorithm (Hastings...