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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… Expand
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Highly Cited
2016
Highly Cited
2016
Bayes factors provide a symmetrical measure of evidence for one model versus another (e.g. H1 versus H0) in order to relate… Expand
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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… Expand
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Highly Cited
2012
Highly Cited
2012
Bayes factors have been advocated as superior to pp-values for assessing statistical evidence in data. Despite the advantages of… Expand
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Highly Cited
2009
Highly Cited
2009
A Bayesian approach to model comparison based on the integrated or marginal likelihood is considered, and applications to linear… Expand
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Highly Cited
2005
Highly Cited
2005
We present a novel approach to understanding the concepts of the theory of rough sets in terms of the inverse probabilities… Expand
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Highly Cited
2005
Highly Cited
2005
Traditionally, the use of Bayes factors has required the specification of proper prior distributions on model parameters that are… Expand
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Highly Cited
2004
Highly Cited
2004
In many multivariate domains, we are interested in analyzing the dependency structure of the underlying distribution, e.g… Expand
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Highly Cited
1999
Highly Cited
1999
I would like to thank David L. Weakliem (1999 [this issue]) for a thought-provoking discussion of the basis of the Bayesian… Expand
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Highly Cited
1996
Highly Cited
1996
SUMMARY Ways of obtaining approximate Bayes factors for generalised linear models are described, based on the Laplace method for… Expand
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Highly Cited
1992
Highly Cited
1992
  • D. MacKay
  • Neural Computation
  • 1992
  • Corpus ID: 1762283
Although Bayesian analysis has been in use since Laplace, the Bayesian method of model-comparison has only recently been… Expand
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