Results 151 to 160 of about 4,246,376 (189)
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Bayes factors and hierarchical models
Journal of Statistical Planning and Inference, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DE SANTIS, Fulvio, SPEZZAFERRI, Fulvio
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Measuring the effect of observations on Bayes factors
Biometrika, 1990SUMMARY In this paper we consider a measure of the effect of single observations on a logarithmic Bayes factor defined via the difference in the logarithms of the Bayes factors conditional first on all the data and then omitting an observation. The measure is related to the conditional predictive ordinate.
PETTIT, LI, YOUNG, KDS
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Bayes factors for Fieller's problem.
2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
BARBIERI M. M. +2 more
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Journal of Econometrics, 1996
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Young, KDS, Pettit, LI
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Young, KDS, Pettit, LI
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2010
For eliminating nuisance parameters, recent literature indicates that non-Bayesian methods based on pseudo-likelihoods can be usefully incorporated into classical Bayesian analyses (see Ventura et al., 2009, and references therein) . This approach has the remarkable advantages of avoiding elicitation on the nuisance parameters and the computation of ...
CABRAS, STEFANO +2 more
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For eliminating nuisance parameters, recent literature indicates that non-Bayesian methods based on pseudo-likelihoods can be usefully incorporated into classical Bayesian analyses (see Ventura et al., 2009, and references therein) . This approach has the remarkable advantages of avoiding elicitation on the nuisance parameters and the computation of ...
CABRAS, STEFANO +2 more
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Australian <html_ent glyph="@amp;" ascii="&"/> New Zealand Journal of Statistics, 2005
Summary This note establishes a connection between Bayes factors and the use of the logarithmic score utility function for model selection in a Bayesian context. The connection presented provides insights into Bayes factors.
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Summary This note establishes a connection between Bayes factors and the use of the logarithmic score utility function for model selection in a Bayesian context. The connection presented provides insights into Bayes factors.
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Approximating the Bayes factor
Statistics & Probability Letters, 1996zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bayes Factors with an Application to Experimental Economics
Experimental Economics, 2003AbstractWe describe Bayes factor, an explicit measure of the strength of the evidence, the extent to which the data increase or decrease the odds a given hypothesis or model is true. Issues and techniques for deriving a Bayes factor are outlined. We illustrate the technique with data from an ultimatum game experiment that looked for an experimenter ...
Bolton, Gary E. +2 more
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2023
Bayes factors represent one of the most well-known and commonly adopted tools to perform model selection and hypothesis testing according to a Bayesian flavour. Nevertheless, they are often criticized due to some interpretative and computational aspects, including that of not being able to be used with improper priors, or their intrinsic lack of ...
Leonardo Egidi, Ioannis Ntzoufras
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Bayes factors represent one of the most well-known and commonly adopted tools to perform model selection and hypothesis testing according to a Bayesian flavour. Nevertheless, they are often criticized due to some interpretative and computational aspects, including that of not being able to be used with improper priors, or their intrinsic lack of ...
Leonardo Egidi, Ioannis Ntzoufras
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The Statistician, 1993
Computational advances have facilitated application of various Bayesian methods, including the assessment of evidence in favor of a scientific theory. This is accomplished by calculating a Bayes factor. It is important to recognize, however, that the value of a Bayes factor may be sensitive to the choice of priors on parameters appearing in the ...
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Computational advances have facilitated application of various Bayesian methods, including the assessment of evidence in favor of a scientific theory. This is accomplished by calculating a Bayes factor. It is important to recognize, however, that the value of a Bayes factor may be sensitive to the choice of priors on parameters appearing in the ...
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