
spBayes
 Referenced in 365 articles
[sw10160]
 intensive Markov chain Monte Carlo (MCMC) methods whose efficiency depends upon the specific problem...

BAS
 Referenced in 8 articles
[sw24118]
 using Sampling w/out Replacement or an efficient MCMC algorithm samples models using the BAS tree...

stochvol
 Referenced in 23 articles
[sw19383]
 Bayesian Inference for Stochastic Volatility (SV) Models. Efficient algorithms for fully Bayesian estimation of stochastic ... models via Markov chain Monte Carlo (MCMC) methods...

BRugs
 Referenced in 23 articles
[sw08183]
 OpenBUGS software for Bayesian analysis using MCMC sampling. Runs natively and stably ... Windows are in ”beta” status and less efficient...

BGX
 Referenced in 15 articles
[sw06935]
 Markov chain Monte Carlo (MCMC) algorithm that raises considerably the efficiency with which the posterior...

VEGAS+
 Referenced in 5 articles
[sw36233]
 integrand samples, generated using MCMC or other methods, to optimize VEGAS+ before integrating. We give ... VEGAS+ is more than 100 times as efficient as VEGAS+ without preconditio ing. Finally ... more than 10 times as efficient as MCMC for Bayesian integrals with...

reglogit
 Referenced in 9 articles
[sw14464]
 package implements subtly different MCMC schemes with varying efficiency depending on the data type (binary...

dynesty
 Referenced in 9 articles
[sw28387]
 provide substantial improvements in sampling efficiency compared to popular MCMC approaches in the astronomical literature...

OpenBUGS
 Referenced in 80 articles
[sw08316]
 expert system’, which determines an appropriate MCMC (Markov chain Monte Carlo) scheme (based ... been designed to be at least as efficient and reliable as WinBUGS over a wide...

EasyABC
 Referenced in 9 articles
[sw14379]
 EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes. Enables launching a series of simulations ... sequential sampling schemes and three coupledtoMCMC schemes are implemented...

compareMCMCs
 Referenced in 1 article
[sw40943]
 compareMCMCs: An R package for studying MCMC efficiency. compareMCMCs is a package for running, managing...

binomlogit
 Referenced in 1 article
[sw36816]
 package binomlogit: Efficient MCMC for Binomial Logit Models. The R package contains different MCMC schemes...

BDgraph
 Referenced in 14 articles
[sw14815]
 this paper, we introduce a novel and efficient Bayesian framework for Gaussian graphical model determination ... transdimensional Markov Chain Monte Carlo (MCMC) approach based on a continuoustime birthdeath ... approach for structure learning. We illustrate the efficiency of the method on a broad range...

deGradInfer
 Referenced in 10 articles
[sw25417]
 offers ordersofmagnitude improvements in computational efficiency over standard methods that require solving ... missing variables, Bayesian inference via population MCMC...

shrinkTVP
 Referenced in 3 articles
[sw29787]
 Parameter Models with Shrinkage. Efficient Markov chain Monte Carlo (MCMC) algorithms for fully Bayesian estimation...

CosmoHammer
 Referenced in 1 article
[sw21685]
 parallelisation costs. In order to efficiently distribute the MCMC sampling over thousands of cores...

spate
 Referenced in 6 articles
[sw12265]
 computationally efficient algorithms needed for doing inference with the HBM. Alternatively, the adaptive MCMC algorithm...

APTMCMC
 Referenced in 1 article
[sw41062]
 samplers and parallel tempering MCMC techniques to improve the simulation efficiency. Simulations use Bayesian inference ... memory usage against emcee, a similar MCMC package in Python. Several MCMC hyperparameters were analyzed...

zic
 Referenced in 1 article
[sw35800]
 also considered. All MCMC samplers are coded in C++ for improved efficiency. A data...

dyPolyChord
 Referenced in 3 articles
[sw28938]
 well compared to Markov chain Monte Carlo (MCMC)based sampling for multimodal or degenerate ... dyPolyChord implements dynamic nested sampling using the efficient PolyChord sampler to provide state...