Results 271 to 280 of about 115,501 (297)

A Critique of the Bayesian Information Criterion for Model Selection

Sociological Methods & Research, 1999
The Bayesian information criterion (BIC) has become a popular criterion for model selection in recent years. The BIC is intended to provide a measure of the weight of evidence favoring one model over another, or Bayes factor. It has, however, some important drawbacks that are not widely recognized. First, Bayes factors depend on prior beliefs about the
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An Application of the Bayesian Model Selection By Using Bayes Factor, Bayesian Information Criterion And Deviance Information Criterion

2013
In statistical modelling studies, due to the advanced technology and methodological developments, it is possible to construct alternative models assumed to generate the data. Therefore, the process of choosing “the best model” among available competing models appears to be one of the crucial steps that has to be included in the modelling process.
KAYA, Mutlu, ÇANKAYA, Emel
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Bayesian derivation of Akaike's information criterion

1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bayesian Information Criterion

2022
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Bayesian information criterion approximations to Bayes factors for univariate and multivariate logistic regression models

International Journal of Biostatistics, 2021
Katharina Selig, Pamela Shaw, Donna P Ankerst   +2 more
exaly  

An Automated Approach to Groundwater Quality Monitoring—Geospatial Mapping Based on Combined Application of Gaussian Process Regression and Bayesian Information Criterion

Water (Switzerland), 2021
Dmitrii Shadrin, Artyom Nikitin, Polina Tregubova   +2 more
exaly  

A Reference Bayesian Test for Nested Hypotheses and its Relationship to the Schwarz Criterion

Journal of the American Statistical Association, 1995
Robert E Kass, Larry Wasserman
exaly   +2 more sources

The Bayesian information criterion: background, derivation, and applications

Wiley Interdisciplinary Reviews: Computational Statistics, 2012
Andrew A Neath, Joseph E Cavanaugh
exaly  

Contaminant source reconstruction by empirical Bayes and Akaike's Bayesian Information Criterion

Journal of Contaminant Hydrology, 2016
Andrea Zanini, Allan D Woodbury
exaly  

The Bayesian information criterion

2001
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