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Bayes factor

Known as: Bayes factors, Bayesian model comparison, Bayesian model selection 
In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing. Bayesian model comparison is a method of model… 
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Related topics

Related topics

14 relations
Akaike information criterionBayesian information criterionDecision theoryDeviance information criterion

Broader (1)

Model selection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Bayesian naturalness of the CMSSM and CNMSSM
The recent discovery of the 125.5 GeV Higgs boson at the LHC has fueled interest in the next-to-minimal supersymmetric standard… 
2012
2012
Statistical gear health analysis which is robust to fluctuating loads and operating speeds
2010
2010
Bayesian Identity Clustering
Our goal is to establish how many different people are present in a set of N facial images, and determine the correspondence… 
Highly Cited
2010
Highly Cited
2010
Bayesian Model Selection and Statistical Modeling
2009
2009
Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods
Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend… 
2009
2009
Politics-Business Interaction Paths
Most pre-crisis explanations of the various corporate governance systems have considered the separation between ownership and… 
2008
2008
Variation in widths of riparian-zone vegetation of higher-elevation streams and implications for conservation management
Riparian-zone vegetation increasingly is seen as critically important ecologically in landscapes. While generally of limited… 
2007
2007
Clustered nested sampling: efficient Bayesian inference for cosmology
Bayesian model selection provides the cosmologist with an e xacting tool to distinguish between competing models based purely on… 
2005
2005
Mark-recapture with occasion and individual effects: Abundance estimation through Bayesian model selection in a fixed dimensional parameter space
We present a Bayesian mark-recapture method for explicitly communicating uncertainty about the size of a closed population where… 
Highly Cited
1997
Highly Cited
1997
Models and Selection Criteria for Regression and Classification
When performing regression or classification, we are interested in the conditional probability distribution for an outcome or… 
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