
ADVI
 Referenced in 26 articles
[sw34040]
 inference is a scalable technique for approximate Bayesian inference. Deriving variational inference algorithms requires tedious...

RStan
 Referenced in 58 articles
[sw13990]
 Markov Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood...

PILCO
 Referenced in 20 articles
[sw34813]
 probabilistic modeling of the dynamics and approximate Bayesian inference for policy evaluation and improvement...

abcrf
 Referenced in 11 articles
[sw21308]
 Approximate Bayesian computation (ABC) has grown into a standard methodology that manages Bayesian inference...

rstan
 Referenced in 28 articles
[sw16103]
 Markov Chain Monte Carlo, rough Bayesian inference via variational approximation, and (optionally penalized) maximum likelihood...

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

trueskill
 Referenced in 24 articles
[sw12352]
 Bayesian skill rating system with inference by approximate message passing on a factor graph. Used...

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

AABC
 Referenced in 6 articles
[sw16116]
 sets is computationally infeasible. Approximate Bayesian computation (ABC) methods perform inference on modelspecific parameters ... sampled by ABC, inference is not straightforward. We present approximate approximate Bayesian computation” (AABC ... class of methods that extends simulationbased inference by ABC to models in which simulating ... inform a nonmechanistic statistical model that approximates the correct parametric model and enables efficient...

spectralGP
 Referenced in 14 articles
[sw08081]
 Approximate Gaussian processes using the Fourier basis. Routines for creating, manipulating, and performing Bayesian inference...

LibDAI
 Referenced in 15 articles
[sw06422]
 provides implementations of various exact and approximate inference methods for graphical models with discretevalued ... variables. libDAI supports directed graphical models (Bayesian networks) as well as undirected ones (Markov random ... fields and factor graphs). It offers various approximations of the partition sum, marginal probability distributions ... other open source software packages for approximate inference is given. libDAI is licensed under...

choix
 Referenced in 2 articles
[sw26417]
 Choice Model. choix makes it easy to infer model parameters from these different types ... Spectral Ranking; MinorizationMaximization; Rank Centrality; Approximate Bayesian inference with expectation propagation...

BayesLogit
 Referenced in 44 articles
[sw09312]
 dataaugmentation strategy for fully Bayesian inference in models with binomial likelihoods. The approach appeals ... methods for posterior inference that (1) circumvent the need for analytic approximations, numerical integration...

ABCSysBio
 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 ... implements parameter inference and model selection for dynamical systems in an approximate Bayesian computation ... rejection sampler, ABC SMC for parameter inference and ABC SMC for model selection...

DRABC
 Referenced in 3 articles
[sw24742]
 Approximate Bayesian Computation with KernelBased Distribution Regression. Performing exact posterior inference in complex generative ... intractable likelihood function. Approximate Bayesian computation (ABC) is an inference framework that constructs an approximation...

cosmoabc
 Referenced in 3 articles
[sw20219]
 cosmoabc: Likelihoodfree inference via Population Monte Carlo Approximate Bayesian Computation. Approximate Bayesian Computation...

BFDA
 Referenced in 2 articles
[sw14769]
 covariance function. An option of approximating the Bayesian inference process with cubic Bspline basis...

queuecomputer
 Referenced in 2 articles
[sw19185]
 proceed with parameter inference from data. Approximate Bayesian computation could offer a straightforward...

TrueSkill
 Referenced in 21 articles
[sw21717]
 skill rating system. We present a new Bayesian skill rating system which can be viewed ... infer individual skills from team results. Inference is performed by approximate message passing...

OUOUCIR
 Referenced in 1 article
[sw34465]
 using CoxIngersollRoss process: an approximate Bayesian computation approach. Over the past decades, Gaussian ... algorithm for parameter estimation and inference under Approximate Bayesian Computation (ABC) is proposed. Simulation studies...