• DPpackage

  • Referenced in 72 articles [sw10495]
  • this is accomplished by placing a prior distribution on a function space, such ... space of all regression functions. Unfortunately, posterior distributions ranging over function spaces are highly complex ... precision parameter of the Dirichlet process prior, and a general purpose Metropolis sampling algorithm...
  • brms

  • Referenced in 32 articles [sw19099]
  • predicted in order to perform distributional regression. Prior specifications are flexible ... explicitly encourage users to apply prior distributions that actually reflect their beliefs. In addition, model...
  • mi

  • Referenced in 28 articles [sw10551]
  • imputation; and plots for comparing the distributions of observed and imputed data. In addition ... Bayesian models and weakly informative prior distributions to construct more stable estimates of imputation models...
  • elicit-normlin

  • Referenced in 27 articles [sw27808]
  • elicit the hyperparameters of the prior distribution for the normal linear model, based...
  • blasso

  • Referenced in 13 articles [sw06769]
  • Bayesian posterior mode under a prior distribution implied by the form of the elastic ... complete characterization of a class of prior distributions that generate the elastic net estimate ... characterizations of the class of prior distributions are introduced: a properly normalized, direct characterization, which ... scale mixture of normal distributions. Prior distributions are proposed for the regularization parameters, resulting...
  • GSM

  • Referenced in 19 articles [sw10497]
  • only requires to specify a prior distribution for a single parameter...
  • BaySeq

  • Referenced in 17 articles [sw10343]
  • data and derives an empirically determined prior distribution from the entire dataset. We examine...
  • CARBayes

  • Referenced in 14 articles [sw15288]
  • assigned a conditional autoregressive (CAR) prior distribution. A number of different CAR priors are available...
  • BAS

  • Referenced in 8 articles [sw24118]
  • deterministic sampling without replacement from posterior distributions. Prior distributions on coefficients are from Zellner ... over all models or beta-binomial prior distributions on model size are allowed...
  • MODL

  • Referenced in 11 articles [sw18797]
  • space of discretization models and a prior distribution defined on this model space. This results...
  • DREAM

  • Referenced in 9 articles [sw24746]
  • proportional to the product of the prior probability, p(H) of this hypothesis ... Unfortunately, for complex system models the posterior distribution is often high dimensional and analytically intractable ... model averaging, distributed computation, and informative/noninformative prior distributions. The DREAM toolbox supports parallel computing...
  • CABOB

  • Referenced in 31 articles [sw17813]
  • assumptions about the instance distribution. Experiments against the fastest prior algorithm, CPLEX 8.0, show that...
  • PEGS

  • Referenced in 5 articles [sw19541]
  • Elicitation of Prior Distributions. This site provides links to Prior Elicitation Graphical Software (PEGS ... quantifying expert opinion as a prior distribution...
  • shallot

  • Referenced in 10 articles [sw26314]
  • Pairwise Information. We propose a random partition distribution indexed by pairwise similarity information such that ... type of information to define a prior partition distribution for flexible Bayesian modeling. A defining...
  • CASPAR

  • Referenced in 6 articles [sw12242]
  • Bayesian framework. A hierarchical prior distribution on the regression parameters is specifically designed to deal...
  • STL-10 dataset

  • Referenced in 26 articles [sw39164]
  • examples is provided to learn image models prior to supervised training. The primary challenge ... different distribution from the labeled data) to build a useful prior. We also expect that...
  • BayesVarSel

  • Referenced in 5 articles [sw11011]
  • package is placed on the prior distributions and BayesVarSel allows using a wide range...
  • fabMix

  • Referenced in 4 articles [sw32111]
  • Mengersen (2011) ): suitable prior assumptions ensure that asymptotically the extra components will ... sample from the posterior distribution of the overfitting mixture. A prior parallel tempering scheme ... multiple parallel chains with different prior distributions on the mixture weights. These chains...
  • gvs_BUGS

  • Referenced in 4 articles [sw26317]
  • likelihood, prior and pseudo-prior distributions of the parameters as well as the prior term...
  • dirichletprocess

  • Referenced in 4 articles [sw32614]
  • limited to: density estimation, clustering and prior distributions in hierarchical models...