
DPpackage
 Referenced in 72 articles
[sw10495]
 space of all regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex...

bvarsv
 Referenced in 110 articles
[sw11023]
 with a focus on generating posterior predictive distributions...

FastSLAM
 Referenced in 63 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...

rjags
 Referenced in 66 articles
[sw08039]
 sequence of dependent samples from the posterior distribution of the parameters...

MrBayes
 Referenced in 62 articles
[sw07715]
 Carlo (MCMC) methods to estimate the posterior distribution of model parameters...

AutoClass
 Referenced in 70 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...

twalk
 Referenced in 28 articles
[sw14214]
 many objective functions (specially suited for posterior distributions using nonstandard models that would make...

MultiNest
 Referenced in 50 articles
[sw10481]
 associated error estimate, and produces posterior samples from distributions that may contain multiple modes...

BGX
 Referenced in 16 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...

GPSABC
 Referenced in 18 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...

bayestestR
 Referenced in 12 articles
[sw29804]
 Understand and Describe Bayesian Models and Posterior Distributions. Provides utilities to describe posterior distributions...

polychord
 Referenced in 12 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...

blasso
 Referenced in 13 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 15 articles
[sw07319]
 well as tools for examining posterior distributions are also included...

ABCSubSim
 Referenced in 14 articles
[sw10099]
 better, measure of accuracy in the posterior distribution. We also show that ABCSubSim readily ... estimate of the evidence (marginal likelihood) for posterior model class assessment, as a byproduct...

AABC
 Referenced in 7 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...

HDDM
 Referenced in 11 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 Pythonbased...

DREAM
 Referenced in 9 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...

LearnBayes
 Referenced in 6 articles
[sw04495]
 summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms ... summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical...

phytools
 Referenced in 14 articles
[sw10003]
 discrete trait are sampled from their posterior probability distribution under a model; conducting a multiple...