# Teh 2006: Hierarchical Dirichlet Processes

> Yee Whye Teh, Michael I Jordan, Matthew J Beal et al., 2006. 1 records on Mysteries Department cite it. The inductive-methods survey lists it among the…

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[Sources](https://mysteriesdept.com/sources)[Voynich Manuscript](https://mysteriesdept.com/mysteries/voynich-manuscript)Teh 2006

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# Hierarchical Dirichlet Processes

Yee Whye Teh, Michael I Jordan, Matthew J Beal et al., 2006. _Journal of the American Statistical Association_.

Introduces the hierarchical Dirichlet process, a nonparametric Bayesian model in which groups of data share mixture components and the number of components is learned from the data. It underlies nonparametric topic models.

**Voynich Manuscript** Articledoi: **[10.1198/016214506000000302](https://doi.org/10.1198/016214506000000302)** Checked against the original0

## What it's used for here

The inductive-methods survey lists it among the topic-modelling references.

## Cited by on this site 1 record

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## Cite it

```
Teh, Y. W., Jordan, M. I., Beal, M. J., & Blei, D. M. (2006). Hierarchical Dirichlet Processes. Journal of the American Statistical Association. https://doi.org/10.1198/016214506000000302
```

[Find it at doi.org](https://doi.org/10.1198/016214506000000302)

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