Maximum Likelihood Estimation_OldKiwi
A parameter estimation heuristic that seeks parameter values that maximize the likelihood function for the parameter to calculate the best way of fitting a mathematical model to some data. This ignores the prior distribution and so is inconsistent with Bayesian probability theory, but it works reasonably well. (See Also: Lecture 7 and [BPE]?)
