Understanding the Posterior Distribution in Bayesian Inference
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Understanding the Posterior Distribution in Bayesian Inference
In Bayesian inference, the posterior distribution represents the updated belief after incorporating new evidence. It is derived from the prior distribution and the likelihood function through Bayes' theorem. The posterior distribution reflects the combination of prior beliefs and observed data, providing a probability distribution of the ...
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