• # 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...
• # 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...
• # 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...
• # 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...