• dynesty

  • Referenced in 9 articles [sw28387]
  • structure, Dynamic Nested Sampling has the benefits of Markov Chain Monte Carlo algorithms that focus ... exclusively on posterior estimation while retaining Nested Sampling’s ability to estimate evidences and sample...
  • Monte Python

  • Referenced in 25 articles [sw41038]
  • Monte Python is a Monte Carlo code for Cosmological Parameter extraction. It contains likelihood codes ... cosmological observables. Several sampling methods are available: Metropolis-Hastings, Nested Sampling (through MultiNest), EMCEE (through...
  • DIAMONDS

  • Referenced in 2 articles [sw36440]
  • comparison by means of the nested sampling Monte Carlo (NSMC) algorithm, an efficient and powerful...
  • MultiNest

  • Referenced in 50 articles [sw10481]
  • first public release of our multimodal nested sampling algorithm, called MultiNest. This Bayesian inference tool ... associated error estimate, and produces posterior samples from distributions that may contain multiple modes ... here lead to further substantial improvements in sampling efficiency and robustness, as compared ... itself significantly outperformed existing Markov chain Monte Carlo techniques in a wide range of astrophysical...
  • NestedMICA

  • Referenced in 4 articles [sw35335]
  • driven by a Monte Carlo technique called Nested Sampling. It uses multi-class sequence background...
  • allesfitter

  • Referenced in 1 article [sw39370]
  • either a Markov Chain Monte Carlo (MCMC) or Nested Sampling fit. For novice users...
  • PyMultiNest

  • Referenced in 2 articles [sw28457]
  • efficient Monte Carlo algorithm for sampling the parameter space is based on nested sampling...
  • dyPolyChord

  • Referenced in 3 articles [sw28938]
  • Nested sampling is a numerical method for Bayesian computation which simultaneously calculates posterior samples ... well compared to Markov chain Monte Carlo (MCMC)-based sampling for multi-modal or degenerate ... posterior distributions. dyPolyChord implements dynamic nested sampling using the efficient PolyChord sampler to provide state...
  • HI

  • Referenced in 3 articles [sw24429]
  • nested hyperplanes. Simulation from distributions supported by nested hyperplanes, using the algorithm described in Petris ... geometric approach to transdimensional Markov chain Monte Carlo”, Canadian Journal of Statistics, v.31 ... Also random direction multivariate Adaptive Rejection Metropolis Sampling...
  • inlabru

  • Referenced in 5 articles [sw40209]
  • general latent Gaussian modeling using integrated nested Laplace approximation via the INLA package (Monte Carlo sampling allows posterior prediction of general expressions...
  • Nestle

  • Referenced in 2 articles [sw32995]
  • licensed implementation of nested sampling algorithms. Nested Sampling is a computational approach for integrating posterior ... similar to Markov Chain Monte Carlo (MCMC) in that it generates samples that...
  • phylodyn

  • Referenced in 3 articles [sw19813]
  • several Markov chain Monte Carlo-based methods and an integrated nested Laplace approximation-based approach ... describe the timed ancestral relationships of individuals sampled from a population of interest. Here, individuals...
  • ADOL-C

  • Referenced in 249 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...
  • Gmsh

  • Referenced in 767 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • HSL

  • Referenced in 279 articles [sw00418]
  • HSL (formerly the Harwell Subroutine Library) is a...
  • KNITRO

  • Referenced in 197 articles [sw00490]
  • KNITRO is a solver for nonlinear optimization. It...
  • LAPACK

  • Referenced in 1702 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LSQR

  • Referenced in 394 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...