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A family of stochastic processes whose realizations are probability distributions
3
votes
Accepted
Nonparametric Topic Models
Yes, when using the HDP approach to topic modeling, the number of topics is inferred from the data, whereas with standard LDA the number of topics must be pre-specified.
The Pitman-Yor process is a s …
13
votes
Accepted
Multinomial-Dirichlet model with hyperprior distribution on the concentration parameters
I don't think this is an "overparamaterized" model at all. I would argue that by placing a prior over the Dirichlet paramaters, you're being less committal about any particular outcome. In particular, …
1
vote
Mixture Models and Dirichlet Process Mixtures (beginner lectures or papers)
Here's a rather good introductory video lecture by Tom Griffiths, also given at the Machine Learning Summer School.