• abc

  • Referenced in 42 articles [sw14871]
  • Tools for Approximate Bayesian Computation (ABC). Implements several ABC algorithms for performing parameter estimation, model...
  • GPS-ABC

  • Referenced in 16 articles [sw16117]
  • Gaussian Process Surrogate Approximate Bayesian Computation. Scientists often express their understanding of the world through ... computationally demanding simulation program. Analyzing the posterior distribution of the parameters given observations (the inverse ... problem) can be extremely challenging. The Approximate Bayesian Computation (ABC) framework is the standard statistical...
  • ABC-SubSim

  • Referenced in 13 articles [sw10099]
  • Approximate Bayesian computation by subset simulation. A new approximate Bayesian computation (ABC) algorithm for Bayesian ... regions that correspond to increasingly closer approximations of the actual data vector in observation space ... recent sequential ABC algorithms in terms of computational efficiency while achieving the same, or better...
  • abcrf

  • Referenced in 13 articles [sw21308]
  • random forests for Bayesian parameter inference. Approximate Bayesian computation (ABC) has grown into a standard...
  • epiABC

  • Referenced in 9 articles [sw23334]
  • inference for stochastic epidemic models using approximate Bayesian computation. Likelihood-based inference for disease outbreak ... this paper we review recent Approximate Bayesian Computation (ABC) methods for the analysis of such...
  • DIYABC

  • Referenced in 8 articles [sw21021]
  • DIYABC v2.0: a software to make approximate Bayesian computation inferences about population history using single ... comprehensive analysis of population history using approximate Bayesian computation on DNA polymorphism data. Version...
  • ABCtoolbox

  • Referenced in 11 articles [sw08813]
  • ABCtoolbox was designed to perform Approximate Bayesian Computation (ABC) estimations using various recently published algorithms...
  • AABC

  • Referenced in 6 articles [sw16116]
  • Bayesian computation when simulating a large number of data sets is computationally infeasible. Approximate Bayesian ... success of ABC methods is computationally inexpensive simulation of data sets from the parametric model ... data sets from a model is so computationally expensive that the posterior distribution of parameters ... inference is not straightforward. We present approximate approximate Bayesian computation” (AABC), a class of methods...
  • ABC-SysBio

  • Referenced in 6 articles [sw24739]
  • SysBio: Approximate Bayesian Computation in Python with GPU support. MOTIVATION: The growing field of systems ... number of statistical approaches, both frequentist and Bayesian, have been proposed to answer these questions ... selection for dynamical systems in an approximate Bayesian computation (ABC) framework. ABC-SysBio combines three...
  • EasyABC

  • Referenced in 7 articles [sw14379]
  • EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes. Enables launching a series of simulations...
  • abctools

  • Referenced in 6 articles [sw14870]
  • Tools for ABC Analyses. Tools for approximate Bayesian computation including summary statistic selection and assessing...
  • cosmoabc

  • Referenced in 3 articles [sw20219]
  • free inference via Population Monte Carlo Approximate Bayesian Computation. Approximate Bayesian Computation (ABC) enables parameter...
  • msBayes

  • Referenced in 3 articles [sw24735]
  • testing comparative phylogeographic histories using hierarchical Approximate Bayesian Computation. Results: msBayes employs approximate Bayesian computation...
  • ABrox

  • Referenced in 3 articles [sw24741]
  • user-friendly Python module for approximate Bayesian computation with a focus on model comparison ... overview of the basic principles of approximate Bayesian computation (ABC), a class of stochastic methods ... compared to classical Bayesian hypothesis testing by computing an approximate Bayes factor for two multinomial...
  • abc-sde

  • Referenced in 3 articles [sw24744]
  • MATLAB toolbox for Approximate Bayesian Computation (ABC) in stochastic differential equation models. It performs approximate...
  • DR-ABC

  • Referenced in 3 articles [sw24742]
  • Approximate Bayesian Computation with Kernel-Based Distribution Regression. Performing exact posterior inference in complex generative ... evaluate or intractable likelihood function. Approximate Bayesian computation (ABC) is an inference framework that constructs...
  • PopABC

  • Referenced in 4 articles [sw24740]
  • infer historical demographic parameters. PopABC is a computer package for inferring the pattern of demographic ... coalescent simulation in the framework of approximate Bayesian computation (ABC). PopABC can also be used ... binaries are freely available at http://www.reading.ac.uk/ approximately sar05sal/software.htm. The program was implemented...
  • ABCpy

  • Referenced in 4 articles [sw29748]
  • highly modular, scientific library for approximate Bayesian computation (ABC) written in Python. It is designed...
  • AutoClass

  • Referenced in 68 articles [sw26092]
  • Bayesian Approach to Classification. We describe a Bayesian approach to the unsupervised discovery of classes ... parameters. We rate our classifications with an approximate posterior probability of the distribution function w.r.t ... over all the parameters. Approximation is necessitated by the computational complexity of the joint probability...
  • ssfit

  • Referenced in 3 articles [sw12284]
  • procedure is an alternative to the approximate Bayesian computation scheme...