Mathematical Probability Theory
Bayesian estimation is a statistical method that uses Bayes' theorem to update the probability estimate for a hypothesis as additional evidence is acquired. It combines prior knowledge or beliefs about a parameter with new data to create a posterior distribution, which reflects the updated beliefs after observing the data. This approach emphasizes the importance of prior distributions and allows for a more flexible framework compared to traditional estimation methods.
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