Hyperprior on symmetric Dirichlet distribution
Machine Learning
2017-08-29 v1
Abstract
In this article we introduce how to put vague hyperprior on Dirichlet distribution, and we update the parameter of it by adaptive rejection sampling (ARS). Finally we analyze this hyperprior in an over-fitted mixture model by some synthetic experiments.
Cite
@article{arxiv.1708.08177,
title = {Hyperprior on symmetric Dirichlet distribution},
author = {Jun Lu},
journal= {arXiv preprint arXiv:1708.08177},
year = {2017}
}