(New page: == Maximum Likelihood Estimation == A parameter estimation heuristic that seeks parameter values that maximize the likelihood function for the parameter to calculate the best way of fi...) |
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Latest revision as of 01:29, 7 April 2008
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]?)
