bayesian inference

What are the Components of Bayesian Inference?

Bayesian inference involves three main components:
Prior probability: The initial probability of a hypothesis based on existing knowledge or expert opinion.
Likelihood: The probability of the observed data given the hypothesis.
Posterior probability: The updated probability of the hypothesis after considering the new data.

Frequently asked queries:

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