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Bayesian Inference
Bayesian Inference is a statistical method that updates the probability of a hypothesis as more evidence or data becomes available. It uses Bayes' theorem to systematically combine prior knowledge about an event with new observations, leading to a more refined understanding. This approach is powerful for making predictions and decisions under uncertainty.
In plain terms
It's like getting new pieces of a puzzle and continuously updating your guess about the final picture, rather than starting fresh each time.
Why it matters
It provides a principled way to incorporate prior knowledge into statistical models, leading to more robust and accurate predictions with limited data.
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