• copula

  • Referenced in 178 articles [sw14499]
  • Merged former package ’nacopula’ for nested Archimedean copulas: Efficient sampling algorithms, various estimators, goodness...
  • MultiNest

  • Referenced in 50 articles [sw10481]
  • first public release of our multimodal nested sampling algorithm, called MultiNest. This Bayesian inference tool...
  • Monte Python

  • Referenced in 27 articles [sw41038]
  • sampling methods are available: Metropolis-Hastings, Nested Sampling (through MultiNest), EMCEE (through CosmoHammer) and Importance...
  • dynesty

  • Referenced in 9 articles [sw28387]
  • dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences. We present dynesty ... evidences (marginal likelihoods) using Dynamic Nested Sampling. By adaptively allocating samples based on posterior structure ... Dynamic Nested Sampling has the benefits of Markov Chain Monte Carlo algorithms that focus exclusively ... posterior estimation while retaining Nested Sampling’s ability to estimate evidences and sample from complex...
  • MESHPART

  • Referenced in 57 articles [sw04178]
  • vertex separators, and nested dissection orderings; and it has some sample meshes and mesh generators...
  • polychord

  • Referenced in 12 articles [sw25768]
  • variation of John Skilling’s Nested Sampling, utilising Slice Sampling to generate new live points...
  • nestcheck

  • Referenced in 4 articles [sw28964]
  • nestcheck: diagnostic tests for nested sampling calculations. Nested sampling is an increasingly popular technique ... high dimensionality. Without appropriate settings, however, nested sampling software may fail to explore such posteriors ... parameter estimation and evidence calculations using nested sampling software, and demonstrates them empirically. We present ... diagnostic plots for nested sampling, and give practical advice for nested sampling software users...
  • perfectns

  • Referenced in 3 articles [sw28965]
  • Python perfectns: Nested sampling (Skilling, 2006) is a popular numerical method for Bayesian computation, which ... given likelihood and prior. Dynamic nested sampling (Higson et al., 2019a) is a generalisation ... nested sampling algorithm which can provide order-of-magnitude increases in computational efficiency. perfectns performs ... dynamic nested sampling and standard nested sampling for spherically symmetric likelihoods and priors, and analyses...
  • dyPolyChord

  • Referenced in 3 articles [sw28938]
  • dyPolyChord: dynamic nested sampling with PolyChord. Nested sampling is a numerical method for Bayesian computation ... degenerate posterior distributions. dyPolyChord implements dynamic nested sampling using the efficient PolyChord sampler to provide ... state-of-the-art nested sampling performance. Any likelihoods and priors which work with PolyChord...
  • DNest4

  • Referenced in 3 articles [sw25767]
  • DNest4: Diffusive Nested Sampling in C++ and Python. n probabilistic (Bayesian) inferences, we typically want ... Bayesian model selection. The diffusive nested sampling algorithm, a variant of nested sampling...
  • SYSBIONS

  • Referenced in 3 articles [sw29812]
  • SYSBIONS: nested sampling for systems biology. Motivation: Model selection is a fundamental part ... parameters that define a model. Nested sampling is a method for the computation ... model’s evidence and the generation of samples from the posterior parameter distribution. Results ... based, GPU-accelerated implementation of nested sampling that is designed for biological applications. The algorithm...
  • nacopula

  • Referenced in 50 articles [sw06778]
  • Copulas. An R package for working with nested Archimedean copulas. Specifically, providing procedures for computing ... tail dependence coefficients, efficient sampling algorithms, various estimators, and goodness-of-fit tests. The package...
  • Ymer

  • Referenced in 17 articles [sw09468]
  • Ymer: distributed acceptance sampling and statistical model checking of nested probabilistic statements...
  • NestedMICA

  • Referenced in 4 articles [sw35335]
  • Monte Carlo technique called Nested Sampling. It uses multi-class sequence background models to represent...
  • Nestle

  • Referenced in 2 articles [sw32995]
  • Pure Python, MIT-licensed implementation of nested sampling algorithms. Nested Sampling is a computational approach...
  • PyMultiNest

  • Referenced in 2 articles [sw28457]
  • MultiNest? MultiNest is a program and a sampling technique. As a Bayesian inference technique ... apemost.sf.net/ ). Recently, MultiNest added Importance Nested Sampling (INS, see http://arxiv.org/abs/1306.2144) which ... parameter space is based on nested sampling and the idea of disjoint multi-dimensional ellipse...
  • DIAMONDS

  • Referenced in 2 articles [sw36440]
  • DIAMONDS: a new Bayesian Nested Sampling tool. Application to Peak Bagging of solar-like oscillations ... model comparison by means of the nested sampling Monte Carlo (NSMC) algorithm, an efficient...
  • JAXNS

  • Referenced in 1 article [sw36439]
  • JAXNS: a high-performance nested sampling package based on JAX. Since its debut by John ... Skilling in 2004, nested sampling has proven a valuable tool to the scientist, providing hypothesis ... long-running nature, in the past, nested sampling has been reserved for offline-type Bayesian ... high-performance out-of-the-box nested sampling package that can close...
  • CPNest

  • Referenced in 1 article [sw36229]
  • performing Bayesian inference using the nested sampling algorithm. It is designed to be simple ... uniform prior distributions. The nested sampling algorithm is then used to compute the marginal likelihood...
  • EVPI

  • Referenced in 20 articles [sw02644]
  • EVPI-based importance sampling solution procedures for multistage stochastic linear programmes on parallel MIMD architectures ... simplex and interior-point methods and nested Benders decomposition, which decomposes the original problem into ... paper describes a parallel implementation of the nested Benders algorithm which employs a farming technique ... parallel version of a sequential importance sampling solution algorithm based on local expected value...