Maximum likelihood estimation (MLE) is a statistical method used to estimate the parameters of a probability distribution by maximizing the likelihood function, which measures how likely it is to observe the given data under different parameter values. This approach is widely used because it provides a way to find the most plausible values for parameters based on observed data, making it a powerful tool in statistical modeling and inference.
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