4. Maximum Likelihood. Prof. A.L. Yuille Stat 231. Fall 2004. Learning Probability Distributions. Learn the likelihood functions and priors from datasets. Two Main Strategies. Parametric and Non-Parametric. This Lecture and the next will concentrate on Parametric methods.
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Prof. A.L. Yuille
Stat 231. Fall 2004.
(This assumes a parametric form for the distributions).
Assume distribution is of form
We denote the log-likelihood as
a function of q
q* is computed by solving equations
For example, the Gaussian family
gives close form solution.