MLE = Maximum Likehood Estimation

MLE is a statistical method used to estimate the parameters of a model by maximizing a likelihood function, so that the observed data is most probable under the assumed statistical model. By finding the values that maximize the likelihood, MLE provides the parameter estimates that best explain the observed data, making it a foundational tool in statistical inference.