= Maximum likelihood estimation
{wiki=Maximum_likelihood_estimation}
Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the parameters of a statistical model. The core idea behind MLE is to find the parameter values that maximize the likelihood function, which quantifies how likely it is to observe the given data under different parameter values of the statistical model. \#\#\# Key Concepts: 1. **Likelihood Function**: Given a statistical model characterized by certain parameters, the likelihood function is defined as the probability of observing the data given those parameters.
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