bayes factor造句

Thus, the posterior odds become equal to the Bayes factor.
Alternatively two competing models / hypothesis can be compared using Bayes factors.
However, Bayes factors are highly sensitive to the prior distribution of parameters.
Support measures are given in terms of Bayes factors, using deciban analysis of taxon transformation.
Spiegelhalter suggests using a Bayes factor to compare normality with a different class of distributional alternatives.
It's difficult to find bayes factor in a sentence. 用bayes factor造句挺难的

Then, if we happen to see a black raven, the Bayes factor in favour of H _ 0 is
Support measures in terms of Bayes factors may be given, following Zander's method of transformational analysis using decibans.
It has also been shown that the models preferred based on this criterion can conflict with those supported by Bayes factors.
A frequentist significant results at the 5 % significance level, the Bayes factor hardly considers this to be an extreme result.
Thus the Bayes factor consists of the ratios : 1 : 0 } } or equivalently, while the prior odds were.
Zander has detailed methods for generating support measures for molecular serial descent and for morphological serial descent using Bayes factors through deciban addition.
Conclusions on model choice based on Bayes factor can be misleading unless the sensitivity of conclusions to the choice of priors is carefully considered.
For example, the posterior mean, median and mode, highest posterior density intervals, and Bayes Factors can all be motivated in this way.
Hypotheses can be compared using Bayesian inference by means of the Bayes factor, which is the ratio of the posterior odds to the prior odds.

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