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… (More)
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Topic mentions per year

Topic mentions per year

1991-2017
02040608019912017

Papers overview

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Highly Cited
2014
Highly Cited
2014
The purpose of this paper is to provide an easy template for the inclusion of the Bayes factor in reporting experimental results… (More)
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Highly Cited
2012
Highly Cited
2012
Bayes factors have been advocated as superior to p-values for assessing statistical evidence in data. Despite the advantages of… (More)
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Highly Cited
2005
Highly Cited
2005
Ways of obtaining approximate Bayes factors for generalised linear models are described, based on the Laplace method for… (More)
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2005
2005
The Bayes factor is a popular criterion in Bayesian model selection. Due to the lack of symmetry of the prior predictive… (More)
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2003
2003
Clustering by maximizing the dependency between (margin) groupings or partitionings of co-occurring data pairs is studied. We… (More)
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Highly Cited
2002
Highly Cited
2002
Mixture models, in which a probability distribution is represented as a linear superposition of component distributions, are… (More)
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Highly Cited
1998
Highly Cited
1998
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area… (More)
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Highly Cited
1998
Highly Cited
1998
We consider the problem of determining the structure of clustered data, without prior knowledge of the number of clusters or any… (More)
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Highly Cited
1993
Highly Cited
1993
Ways of obtaining approximate Bayes factors for generalized linear models are described, based on the Laplace method for… (More)
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Review
1993
Review
1993
In a 1935 paper, and in his book Theory of Probability, Jeffreys developed a methodology for quantifying the evidence in favor of… (More)
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