
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 HannanQuinn 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]
 informationtheoretic 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 Fstatistic 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 theoreticbased scoring metric named mutual information...

confall
 Referenced in 0 articles
[sw37708]
 value, Akaike information criterion, or Bayesian information criterion. This computingintensive procedure allows researchers...

loo
 Referenced in 11 articles
[sw19420]
 CrossValidation and WAIC for Bayesian Models. Efficient approximate leaveoneout crossvalidation ... 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 informationbased search. We present an informationtheoretic 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 secondorder 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...