In both cases, the number of parameters in the BIC formula is the the number of singular vectors retained.</p
Selecting between competing structural equation models is a common problem. Often selection is based...
We consider approximate Bayesian model choice for model selection problems that involve models whose...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
The BIC can be viewed as an easily computable proxy to fully Bayesian model choice, which is conduct...
We present a careful derivation of the Bayesian Inference Criterion (BIC) for model selection. The B...
<p>Bayesian information criterion (BIC) values are compared between several sub-models of the RDM. E...
The Bayesian Information Criterion (BIC) is widely used for variables election in mixed effects mode...
This paper presents a refinement of the Bayesian Information Criterion (BIC). While the original BIC...
This entry discusses a statistical issue that arises when using the Bayesian information criterion (...
Bayesian Information Criterion (BIC) for the number of clusters in nuclear sequence data of Simulium...
<p>Reported are the average values of BIC over all subjects (mean±s.e.m.) and <i>p</i>-values for co...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
The widely applicable Bayesian information criterion (WBIC) is a simple and fast approximation to th...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
Selecting between competing structural equation models is a common problem. Often selection is based...
We consider approximate Bayesian model choice for model selection problems that involve models whose...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
The BIC can be viewed as an easily computable proxy to fully Bayesian model choice, which is conduct...
We present a careful derivation of the Bayesian Inference Criterion (BIC) for model selection. The B...
<p>Bayesian information criterion (BIC) values are compared between several sub-models of the RDM. E...
The Bayesian Information Criterion (BIC) is widely used for variables election in mixed effects mode...
This paper presents a refinement of the Bayesian Information Criterion (BIC). While the original BIC...
This entry discusses a statistical issue that arises when using the Bayesian information criterion (...
Bayesian Information Criterion (BIC) for the number of clusters in nuclear sequence data of Simulium...
<p>Reported are the average values of BIC over all subjects (mean±s.e.m.) and <i>p</i>-values for co...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
Comparison of fitness of models based on Akaike information criterion (AIC) and Bayesian Information...
The widely applicable Bayesian information criterion (WBIC) is a simple and fast approximation to th...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
Selecting between competing structural equation models is a common problem. Often selection is based...
We consider approximate Bayesian model choice for model selection problems that involve models whose...
Bayesian Information Criterion (BIC) values for adjusted models and stated expressions of age variab...
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