Probability and Statistics
Bayesian inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as more evidence or information becomes available. This approach combines prior beliefs with new data to calculate a posterior probability, allowing for more dynamic and flexible statistical modeling. It emphasizes the importance of prior distributions and how they can influence the results of statistical analyses.
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