A Note on Bayes Factors for Log-Linear Contingency Table Models with Vague Prior Information
Copyright policy ) Raftery, A. E.;
A Note on Bayes Factors for Log-Linear Contingency Table Models with Vague Prior Information
SUMMARY The approximate Bayes factor, B 01, for log-linear contingency table models proposed by Spiegelhalter and Smith (1982) is indeterminate if any of the cell frequencies is zero. It is noted that use of a standard Jeffreys prior overcomes this difficulty. It is pointed out that – 2 log B 01 is approximately equivalent to Schwarz's (1978) model selection criterion in large samples.
- Trinity College Dublin Ireland
imaginary observations, Bayesian inference, Contingency tables, Jeffreys prior, Bayesian information criterion, log-linear contingency table models
imaginary observations, Bayesian inference, Contingency tables, Jeffreys prior, Bayesian information criterion, log-linear contingency table models
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selected citations
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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 106
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