Maximum a posteriori (MAP) is a statistical estimation technique that finds the mode of the posterior distribution, which represents the probability of a parameter given observed data. This method combines prior beliefs about the parameter with the likelihood of the observed data to produce a more informed estimate. It plays a significant role in decision-making and estimation processes, particularly in scenarios where prior information is available and helps improve accuracy in communication systems.
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