The dirichlet-process tag has no wiki summary.
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Distributions whose domain are themshelves a distribution
Dirichlet process, Pitman Yor processes and their variants are special types of distributions whose domain are themshelves a distribution. Is there a name to refer to these distributions in general? ...
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Understanding the construction of Dirichlet process
I'm trying to understand the construction process of DP, however, with little background in measure theory, the original papers are hard to read, but I believe the ideas behind these papers can be ...
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Understanding the derivation of an equation in LDA modeling
When reading the derivation of LDA models, I usually get the following equations.
I do not quite understand the second step, where $p(\mathbf{z}_{-i},\mathbf{w}|\alpha,\beta)$ was removed. Is that ...
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The case for non-parametric models
I am relatively new to non-parametric models, such as the Hierarchical Dirichlet Process, Pitman-Yor processes, etc. but I have read that non-parametric methods are data-driven, and that they can be ...
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Nonparametric Topic Models
I am confused between what types of problems these three models capture, and their applications:
Latent Dirichlet Allocation (LDA)
Dirichlet Processes and Pitman-Yor processes
Hierarchical Dirichlet ...
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Multinomial-Dirichlet model with hyperprior distribution on the concentration parameters
I will try to describe the problem at hand as general as possible. I am modeling observations as a categorical distribution with a parameter probability vector theta.
Then, I assume the parameter ...
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Dirichlet processes for supervised learning?
It seems when I glance around here at the fashionable learning algorithms, things like neural networks, boosted trees, support vector machines, random forests, and friends are promoted for supervised ...
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How to define and model consumption bundles?
Imagine an a la carte buffet with n different rooms. On entering the buffet you pick a room (let's say American, Mexican or Italian food) where you stay for the duration of your visit.
Once in a ...
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Mixture Models and Dirichlet Process Mixtures (beginner lectures or papers)
In the context of online clustering, I often find many papers talking about: "dirichlet process" and "finite/infinite mixture models".
Given that I've never used or read about dirichlet process or ...
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Dirichlet process/Chinese restaurant process for clustering in R
I recently read a fascinating article describing methods for clustering data without assuming a fixed number of clusters.
The article even includes some sample code, in a mix of Ruby, Python, and R. ...
