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What is Maximum Likelihood Estimation Explained about?

Maximum likelihood estimation (MLE) is a statistical method for estimating the parameters of a probability distribution by maximizing a likelihood function, making the observed data most probable. It aims to find parameter values that maximize the probability of observing the data, focusing on the likelihood of parameters given the data. Practical considerations include the use of log-likelihood to avoid computational issues with very small numbers when calculating probabilities.

Author

morilloatilio

Language

EN