• 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...