• FastSLAM

  • Referenced in 62 articles [sw13538]
  • algorithm that recursively estimates the full posterior distribution over robot pose and landmark locations ... factorization of the posterior into a product of conditional landmark distributions and a distribution over...
  • DPpackage

  • Referenced in 62 articles [sw10495]
  • space of all regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex...
  • bvarsv

  • Referenced in 81 articles [sw11023]
  • with a focus on generating posterior predictive distributions...
  • MrBayes

  • Referenced in 48 articles [sw07715]
  • Carlo (MCMC) methods to estimate the posterior distribution of model parameters...
  • rjags

  • Referenced in 43 articles [sw08039]
  • sequence of dependent samples from the posterior distribution of the parameters...
  • AutoClass

  • Referenced in 68 articles [sw26092]
  • terms of probability distribution or density functions, and the locally maximal posterior probability parameters ... classifications with an approximate posterior probability of the distribution function w.r.t. the data, obtained ... local maxima in the parameter space. This posterior probability rating allows direct comparison of alternate...
  • BGX

  • Referenced in 14 articles [sw06935]
  • also provides a posterior distribution for the expression of each gene. Moreover, BGX can take ... considerably the efficiency with which the posterior distributions are sampled from. Finally, BGX incorporates various...
  • t-walk

  • Referenced in 18 articles [sw14214]
  • many objective functions (specially suited for posterior distributions using non-standard models that would make...
  • MultiNest

  • Referenced in 34 articles [sw10481]
  • associated error estimate, and produces posterior samples from distributions that may contain multiple modes...
  • GPS-ABC

  • Referenced in 15 articles [sw16117]
  • computationally demanding simulation program. Analyzing the posterior distribution of the parameters given observations (the inverse ... reduce the number of simulations necessary for posterior inference. Both algorithms use confidence estimates...
  • blasso

  • Referenced in 12 articles [sw06769]
  • viewed as a Bayesian posterior mode under a prior distribution implied by the form ... prior distributions that generate the elastic net estimate as the posterior mode. The resulting model ... considering inference based on the full posterior distribution. par Two characterizations of the class ... scale mixture of normal distributions. Prior distributions are proposed for the regularization parameters, resulting...
  • lda

  • Referenced in 14 articles [sw07319]
  • well as tools for examining posterior distributions are also included...
  • ABC-SubSim

  • Referenced in 12 articles [sw10099]
  • better, measure of accuracy in the posterior distribution. We also show that ABC-SubSim readily ... estimate of the evidence (marginal likelihood) for posterior model class assessment, as a by-product...
  • AABC

  • Referenced in 6 articles [sw16116]
  • computationally expensive that the posterior distribution of parameters cannot be adequately sampled by ABC, inference ... show that under mild assumptions, the posterior distribution obtained by AABC converges to the posterior...
  • polychord

  • Referenced in 7 articles [sw25768]
  • calculation of evidences and sampling of posterior distributions. It is a variation of John Skilling ... moderately high dimensional ( 100s D) posterior distributions, and can cope with arbitrary degeneracies and multimodality...
  • bayestestR

  • Referenced in 6 articles [sw29804]
  • Understand and Describe Bayesian Models and Posterior Distributions. Provides utilities to describe posterior distributions...
  • HDDM

  • Referenced in 8 articles [sw16420]
  • individual subject parameters and the group distribution that they are drawn from, while also providing ... uncertainty in these parameters in the posterior distribution. Here, we present a novel Python-based...
  • BASS

  • Referenced in 8 articles [sw02167]
  • especially Metropolis­Hastings algorithm, for exploring posterior distributions. The system allows the user to specify...
  • phytools

  • Referenced in 13 articles [sw10003]
  • discrete trait are sampled from their posterior probability distribution under a model; conducting a multiple...
  • DREAM

  • Referenced in 6 articles [sw24746]
  • Unfortunately, for complex system models the posterior distribution is often high dimensional and analytically intractable ... arsenal of options and utilities to solve posterior sampling problems involving (among others) bimodality, high ... model evaluation, data assimilation, Bayesian model averaging, distributed computation, and informative/noninformative prior distributions. The DREAM...