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Statistical theory / Bayesian inference / Prior probability / Maximum likelihood / Normal distribution / Maximum a posteriori estimation / Expectation–maximization algorithm / Mixture model / Statistics / Bayesian statistics / Estimation theory
Date: 2015-03-12 00:16:19
Statistical theory
Bayesian inference
Prior probability
Maximum likelihood
Normal distribution
Maximum a posteriori estimation
Expectation–maximization algorithm
Mixture model
Statistics
Bayesian statistics
Estimation theory

Statistical Models David M. Blei Columbia University October 14, 2014 We have discussed graphical models. Graphical models are a formalism for representing families of probability distributions. They are connected to ef

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