• dlm

  • Referenced in 30 articles [sw04503]
  • elaborated one on Bayesian inference. The last chapter is on sequential Monte Carlo methods...
  • LibBi

  • Referenced in 14 articles [sw19384]
  • methods developed for Bayesian inference with them. The focus is on sequential Monte Carlo...
  • mvdens

  • Referenced in 1 article [sw22349]
  • functions from Monte Carlo samples for sequential Bayesian inference. An important feature of Bayesian statistics ... whether it is feasible to perform sequential inference based on Monte Carlo samples ... whether they can be used for sequential Bayesian inference. Additionally, both the density estimation ... vine copulas perform better. We show that sequential inference can be computationally more efficient than...
  • ReBEL

  • Referenced in 1 article [sw13083]
  • functions and scripts, designed to facilitate sequential Bayesian inference (estimation) in general state space models...
  • PBPI

  • Referenced in 1 article [sw09015]
  • achieve significant performance improvement over comparable Bayesian phylogenetic inference programs. We evaluated the performance ... widely-used, best-available (albeit sequential), Bayesian phylogenetic inference program. PBPI also achieves linear speedup...
  • vSMC

  • Referenced in 7 articles [sw19386]
  • vSMC: Parallel Sequential Monte Carlo in C++. Sequential Monte Carlo is a family of algorithms ... their application in more general inference problems such as Bayesian modeling. These algorithms have attracted ... many researchers though conceptually appealing, especially for sequential Monte Carlo related fields. A C++ template...
  • rbiips

  • Referenced in 1 article [sw40860]
  • general software for Bayesian inference with interacting particle systems, a.k.a. sequential Monte Carlo (SMC) methods ... inference engine. It borrows from the BUGS/JAGS software, widely used in Bayesian statistics, the statistical...
  • Biips

  • Referenced in 5 articles [sw19385]
  • software platform for automatic Bayesian inference with interacting particle systems. Biips allows users to define ... samplers within this language. Then it runs sequential Monte Carlo based algorithms (particle filters, particle...
  • BFL

  • Referenced in 1 article [sw15150]
  • application independent framework for inference in Dynamic Bayesian Networks, i.e., recursive information processing and estimation ... Sequential Monte Carlo methods), etc. Click below to read the rest of this post.The Bayesian ... application independent framework for inference in Dynamic Bayesian Networks, i.e., recursive information processing and estimation ... Extended) Kalman Filters, Particle Filters (or Sequential Monte Carlo methods), etc. These algorithms...
  • BayesCAT

  • Referenced in 1 article [sw29694]
  • indel fragment size. We employ a Bayesian approach using MCMC to estimate the joint posterior ... more challenging, but it enables us to infer more information about the indel process ... performances of this joint method and traditional sequential methods are compared using simulated data ... well as real data. Software named BayesCAT (Bayesian Co-estimation of Alignment and Tree...
  • phylodyn

  • Referenced in 3 articles [sw19813]
  • gene genealogies. The package main functionality is Bayesian nonparametric estimation of effective population size fluctuations ... nested Laplace approximation-based approach for phylodynamic inference that have been developed in recent years ... trajectory. We assume the coalescent and the sequentially Markov coalescent processes as generative models...
  • CaliBayes

  • Referenced in 1 article [sw27254]
  • simulation tools into their workflows. Parameter inference for stochastic models is also difficult and computationally ... SBML models. It uses a sequential Bayesian MCMC method, which is powerful and flexible, providing...
  • PGSM

  • Referenced in 1 article [sw23283]
  • Particle Gibbs split-merge sampling for Bayesian inference in mixture models. This paper presents ... ratio and can be implemented using existing sequential Monte Carlo libraries. We investigate its performance...
  • ANSYS

  • Referenced in 685 articles [sw00044]
  • ANSYS offers a comprehensive software suite that spans...
  • ATLAS

  • Referenced in 198 articles [sw00056]
  • This paper describes the Automatically Tuned Linear Algebra...
  • CGAL

  • Referenced in 381 articles [sw00118]
  • The goal of the CGAL Open Source Project...
  • Gmsh

  • Referenced in 690 articles [sw00366]
  • Gmsh is a 3D finite element grid generator...
  • LAPACK

  • Referenced in 1677 articles [sw00503]
  • LAPACK is written in Fortran 90 and provides...
  • LSQR

  • Referenced in 385 articles [sw00530]
  • Algorithm 583: LSQR: Sparse Linear Equations and Least...
  • Macaulay2

  • Referenced in 1841 articles [sw00537]
  • Macaulay2 is a software system devoted to supporting...