![Variational Bayesian methods / Statistical models / Expectation–maximization algorithm / Dirichlet process / Gibbs sampling / Mixture model / Bayesian inference / Exponential family / Kullback–Leibler divergence / Statistics / Bayesian statistics / Statistical theory Variational Bayesian methods / Statistical models / Expectation–maximization algorithm / Dirichlet process / Gibbs sampling / Mixture model / Bayesian inference / Exponential family / Kullback–Leibler divergence / Statistics / Bayesian statistics / Statistical theory](https://www.pdfsearch.io/img/fdbaf02b09a2d91cc2f36bbc6ca51ce1.jpg) Date: 2015-03-12 00:16:23Variational Bayesian methods Statistical models Expectation–maximization algorithm Dirichlet process Gibbs sampling Mixture model Bayesian inference Exponential family Kullback–Leibler divergence Statistics Bayesian statistics Statistical theory | | Variational Inference for the Nested Chinese Restaurant Process Chong Wang Computer Science Department Princeton UniversityAdd to Reading ListSource URL: www.cs.columbia.eduDownload Document from Source Website File Size: 216,01 KBShare Document on Facebook
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