Statistical Inference
Bayes' Theorem is a fundamental concept in probability that describes how to update the probability of a hypothesis based on new evidence. It connects prior beliefs, likelihood of observed data, and posterior beliefs, making it essential for understanding conditional probabilities and decision-making under uncertainty.
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