Bayes' Theorem is a mathematical formula that describes how to update the probability of a hypothesis based on new evidence. It provides a way to calculate conditional probabilities, helping to infer the likelihood of an event given prior knowledge and new data. This theorem is significant in probability theory as it lays the foundation for statistical inference, making it especially useful in contexts where uncertainty is present, such as in statistical mechanics.
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