![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 theory / Bayesian inference / Prior probability / Maximum likelihood / Normal distribution / Maximum a posteriori estimation / Expectation–maximization algorithm / Mixture model / Statistics / Bayesian statistics / Estimation theory](https://www.pdfsearch.io/img/d8be5031a48b4abfb72701c8be3521b4.jpg) Date: 2015-03-12 00:16:19Statistical 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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