• Proc Traj

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

  • Referenced in 7 articles [sw17320]
  • Deviance information criterion (DIC) in Bayesian multiple QTL mapping. Mapping multiple quantitative trait loci ... deviance information criterion (DIC) is the most popular criterion for Bayesian model selection and model...
  • ProtTest 3

  • Referenced in 4 articles [sw23032]
  • smallest Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC) score or Decision Theory Criterion...
  • cghseg

  • Referenced in 4 articles [sw06783]
  • selection criterion based on a modified bayesian information criterion proposed in the univariate case...
  • Wrapped

  • Referenced in 3 articles [sw31315]
  • Consistent Akaike Information Criterion, value of Bayesian Information Criterion, value of Hannan-Quinn information criterion...
  • fabMix

  • Referenced in 2 articles [sw32111]
  • factors is selected according to the Bayesian Information Criterion. Identifiability issues related to label switching...
  • Partitionfinder

  • Referenced in 2 articles [sw23033]
  • information-theoretic metrics (e.g., the Bayesian information criterion, akaike information criterion [AIC], and corrected...
  • GRANGER_CAUSE

  • Referenced in 1 article [sw33934]
  • Granger Causality test using the Bayesian Information Criterion to select lag length. GRANGER_CAUSE ... based on the Bayesian Information Criterion. The function produces the F-statistic for the Granger...
  • RaSEn

  • Referenced in 1 article [sw33917]
  • problem, a novel criterion, ratio information criterion (RIC) is put up with based on Kullback ... applied, for instance, minimizing extended Bayesian information criterion (eBIC), minimizing training error, minimizing the validation...
  • longQDA

  • Referenced in 1 article [sw20397]
  • bias of an incorrect decision. The first criterion selects the model structure that yields ... selects the model with the minimal Bayesian information criterion and performs better in our simulation...
  • IsingFit

  • Referenced in 1 article [sw33250]
  • model selection based on the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure...
  • MHadaptive

  • Referenced in 4 articles [sw09336]
  • Bayesian inference including Bayesian Credible Intervals (BCI) and Deviance Information Criterion (DIC) calculation...
  • GlobalMIT

  • Referenced in 2 articles [sw38463]
  • network with the mutual information test criterion. Motivation: Dynamic Bayesian networks (DBN) are widely applied ... hard nature of learning static Bayesian network structure, most methods for learning DBN also employ ... data. We propose using a recently introduced information theoretic-based scoring metric named mutual information...
  • confall

  • Referenced in 0 articles [sw37708]
  • value, Akaike information criterion, or Bayesian information criterion. This computing-intensive procedure allows researchers...
  • loo

  • Referenced in 11 articles [sw19420]
  • Cross-Validation and WAIC for Bayesian Models. Efficient approximate leave-one-out cross-validation ... also compute the widely applicable information criterion (WAIC...
  • spatcounts

  • Referenced in 6 articles [sw13743]
  • implement MCMC algorithms in $R$ for Bayesian estimation. The corresponding R library `spatcounts’ is available ... health insurance company. Since the deviance information criterion is only appropriate for exponential family models ... they can be used in a Bayesian context...
  • PESC

  • Referenced in 8 articles [sw17860]
  • constrained Bayesian optimization using information-based search. We present an information-theoretic framework for solving ... approximation to the expected information gain criterion and it compares favorably to alternative approaches based ... direction towards a unified solution for constrained Bayesian optimization...
  • AICcmodavg

  • Referenced in 2 articles [sw17768]
  • multimodel inference based on Akaike’s information criterion (AIC) and the second-order AIC (AICc ... creation of model selection tables for Bayesian models of the ’bugs’ and ’rjags’ classes. Functions...
  • qPR

  • Referenced in 1 article [sw32288]
  • selects the stimulus to maximize the expected information gain in the next test trial ... based on the observer’s response using Bayesian inference. The procedure is reiterated until either ... parameter estimates reaches a certain criterion. Simulation studies showed that only 100 trials were necessary...
  • GAUSS

  • Referenced in 119 articles [sw00322]
  • The GAUSS Mathematical and Statistical System is a...