• HdBCS

  • Referenced in 81 articles [sw29884]
  • HdBCS - High-dimensional Bayesian Covariance Selection. This site provides C++ code software implementing ... exploring spaces of Gaussian Graphical Models...
  • spikeSlabGAM

  • Referenced in 9 articles [sw07415]
  • Bayesian variable selection and model choice for generalized additive mixed models. Bayesian variable selection, model...
  • bridgesampling

  • Referenced in 11 articles [sw21804]
  • procedures such as Bayes factor model selection and Bayesian model averaging require the computation...
  • abc

  • Referenced in 51 articles [sw14871]
  • Approximate Bayesian Computation (ABC). Implements several ABC algorithms for performing parameter estimation, model selection...
  • BAS

  • Referenced in 8 articles [sw24118]
  • Selection and Model Averaging using Bayesian Adaptive Sampling. Package for Bayesian Variable Selection and Model...
  • qtlbim

  • Referenced in 7 articles [sw17320]
  • Deviance information criterion (DIC) in Bayesian multiple QTL mapping. Mapping multiple quantitative trait loci ... selection. Various model selection criteria have been proposed, primarily in the non-Bayesian framework ... most popular criterion for Bayesian model selection and model comparison but has not been applied...
  • PicHunter

  • Referenced in 53 articles [sw14896]
  • such that the entire history of user selections contributes to the system’s estimate ... accomplish this, PicHunter uses Bayesian learning based on a probabilistic model of a user ... predictions of this model are combined with the selections made during a search to estimate...
  • BartPy

  • Referenced in 83 articles [sw40584]
  • posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis ... particular, BART is defined by a statistical model: a prior and a likelihood. This approach ... also be used for model-free variable selection. BART’s many features are illustrated with...
  • BayesTree

  • Referenced in 64 articles [sw07995]
  • posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis ... particular, BART is defined by a statistical model: a prior and a likelihood. This approach ... also be used for model-free variable selection. BART’s many features are illustrated with...
  • ABC-SysBio

  • Referenced in 8 articles [sw24739]
  • SysBio: Approximate Bayesian Computation in Python with GPU support. MOTIVATION: The growing field of systems ... modeling of biological processes are model selection and the estimation of associated parameters. A number ... parameter inference and model selection for dynamical systems in an approximate Bayesian computation (ABC) framework ... parameter inference and ABC SMC for model selection. It is designed to work with models...
  • ConfirmatoryANOVA

  • Referenced in 3 articles [sw25351]
  • compare means, like hypothesis testing and (Bayesian) model selection. However, there is no software package...
  • MHTrajectoryR

  • Referenced in 3 articles [sw18786]
  • Bayesian model selection in logistic regression for the detection of adverse drug reactions. Spontaneous adverse...
  • DNest4

  • Referenced in 3 articles [sw25767]
  • evidence”, is a key quantity in Bayesian model selection. The diffusive nested sampling algorithm ... RJObject’, a class template for finite mixture models; and (ii) a Python package allowing basic ... demonstrate DNest4 usage through examples including simple Bayesian data analysis, finite mixture models, and approximate...
  • Brq

  • Referenced in 5 articles [sw23416]
  • Analysis of Quantile Regression Models. Bayesian estimation and variable selection for quantile regression models...
  • rSGDLM

  • Referenced in 10 articles [sw34467]
  • Graphical Dynamic Linear Models (https://doi.org/10.1214/15-BA946). A method for online selection of the simultaneous ... Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models...
  • BIEMS

  • Referenced in 10 articles [sw21171]
  • referred to as BIEMS (Bayesian inequality and equality constrained model selection) that can be used...
  • BayesLCA

  • Referenced in 10 articles [sw16118]
  • analysis within a Bayesian setting. Three methods for fitting the model are provided, incorporating ... well as criteria to aid model selection...
  • hypergsplines

  • Referenced in 2 articles [sw26566]
  • package hypergsplines: Bayesian model selection with penalised splines and hyper-g prior...
  • abcrf

  • Referenced in 18 articles [sw21308]
  • standard methodology that manages Bayesian inference for models associated with intractable likelihood functions. Most ... implementations require the preliminary selection of a vector of informative statistics summarizing raw data. Furthermore ... calibrated. We propose to conduct likelihood-free Bayesian inferences about parameters with no prior selection...
  • Proc Traj

  • Referenced in 13 articles [sw11097]
  • Bayesian information criterion to address the problem of model selection, including the estimation...