Adaptive and Self-Tuning Control
Bayes' Theorem is a mathematical formula that describes how to update the probability of a hypothesis based on new evidence. It connects prior knowledge (prior probability) with new data (likelihood) to produce updated beliefs (posterior probability). This concept is central in statistical inference, allowing for a more refined approach to estimation, especially in contexts where information is uncertain or incomplete.
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