The evidence ratio is a measure used in Bayesian statistics to quantify the strength of evidence for one hypothesis over another based on observed data. It represents the ratio of the posterior probabilities of two competing hypotheses, often interpreted as how much more likely one hypothesis is compared to the other given the data and prior beliefs. This concept plays a crucial role in Bayesian estimation and hypothesis testing, allowing researchers to make informed decisions based on the data at hand.
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