# Hyperprior on symmetric Dirichlet distribution

arXiv: https://arxiv.org/abs/1708.08177 · HTML: https://mlsanity.com/paper/1708.08177/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Aug 2017.

## Built on by (most cited first, 2 of 2)

- [A survey on Bayesian inference for Gaussian mixture model](https://mlsanity.com/paper/2108.11753/) (2021)
- [Reducing overestimating and underestimating volatility via the augmented blending-ARCH model](https://mlsanity.com/paper/2203.12456/) (2022)

## Abstract (arXiv)

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.