Data Science Statistics
Bayesian inference is a statistical method that uses Bayes' Theorem to update the probability estimate for a hypothesis as more evidence or information becomes available. This approach allows for incorporating prior beliefs and new data, making it a powerful tool in decision-making, prediction, and estimation. It connects various concepts like the law of total probability, different distributions, and advanced computational methods.
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