Linked from

The 11 pages that link to Bayes factor, each with the reason it gives.

• Bayes' theoremBroader topic: The odds form of the theorem isolates this ratio as the total effect of the evidence.

• P-valueCompared with: Unlike a p-value, it compares specified hypotheses rather than measuring tail probability under one null.

• Statistical significanceCompared with: Unlike a p-value, it directly compares the data’s support under two specified models.

• Likelihood ratioRelated: It is the model-comparison counterpart of a likelihood ratio, averaging over parameter uncertainty.

• Likelihood-ratio testCompared with: It compares integrated model evidence, not maximum likelihoods at fitted parameter values.

• Bayesian epistemologyBroader topic: It isolates how evidence changes the odds between competing hypotheses.

• Model selectionRelated: It compares models by averaging fit over their parameter uncertainty.

• Posterior probabilityRelated: It isolates the evidence’s contribution to posterior odds, apart from prior odds.

• Frequentist inferenceCompared with: It compares models through Bayesian evidence rather than long-run false-rejection rates.

• Thomas BayesRelated: Bayesian model comparison extends the evidence-based reasoning associated with Bayes’s work.

• Statistical hypothesis testCompared with: It compares evidence between models rather than measuring tail probability under one null.