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  • 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 coupled-to-MCMC 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 ... trans-dimensional Markov Chain Monte Carlo (MCMC) approach based on a continuous-time birth-death ... approach for structure learning. We illustrate the efficiency of the method on a broad range...

  • deGradInfer
  • Referenced in 10 articles [sw25417]
  • offers orders-of-magnitude 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...

  • APT-MCMC
  • 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 multi-modal or degenerate ... dyPolyChord implements dynamic nested sampling using the efficient PolyChord sampler to provide state...