Mathematical Probability Theory
Bayesian inference is a statistical method that updates the probability for a hypothesis as more evidence or information becomes available. This approach combines prior knowledge with new data to make probabilistic inferences, allowing for a flexible framework that incorporates both existing beliefs and observed evidence. The method hinges on Bayes' theorem, which relates the conditional and marginal probabilities of random events.
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