What is Maximum likelihood?
'''Maximum likelihood estimation''' (or maximum likelihood) is the name used for a number of ways to guess the parameters of a parametrised [[statistics|statistical model]]. These methods pick the value of the parameter in such a way that the [[probability distribution]] makes the observed values very likely. The method was mainly devleoped by [[Ronald Aylmer Fisher|R.A.Fisher]] in the early 20th century. A likelihood estimation, where [[prior porbabilities|probabilities]] are known beforehand is known as [[Maximum a posteriori estimation]]. {{Statistics}} {{math-stub}} [[Category:Statistics]]