Introduction and examples
We often use probabilities informally to express our information and beliefs about unknown quantities. However, the use of probabilities to express information can be made formal: In a precise mathematical sense, it can be shown that probabilities can numerically represent a set of rational beliefs, that there is a relationship between probability and information, and that Bayes’ rule provides a rational method for updating beliefs in light of new information. The process of inductive learning via Bayes’ rule is referred to as Bayesian inference.
KeywordsOrdinary Little Square Posterior Distribution Prior Distribution Bayesian Inference Prior Belief
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