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Pitman–Yor process

Known as: Pitman-Yor distribution, Pitman-Yor process, Pitman–Yor distribution 
In probability theory, a Pitman–Yor process denoted PY(d, θ, G0), is a stochastic process whose sample path is a probability distribution. A random… Expand
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Papers overview

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2017
2017
For finding the appropriate number of clusters in short text clustering, models based on Dirichlet Multinomial Mixture (DMM… Expand
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2016
2016
The Dirichlet process and its extension, the Pitman-Yor process, are stochastic processes that take probability distributions as… Expand
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2014
2014
In many applications, a finite mixture is a natural model, but it can be difficult to choose an appropriate number of components… Expand
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2012
2012
In this work, we propose the kernel Pitman-Yor process (KPYP) for nonparametric clustering of data with general spatial or… Expand
Highly Cited
2012
Highly Cited
2012
Bayesian models offer great flexibility for clustering applications--Bayesian nonparametrics can be used for modeling infinite… Expand
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2012
2012
This thesis provides methods for constructing martingales with specified marginals. The first collection of methods proceeds by… Expand
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Highly Cited
2010
Highly Cited
2010
One important approach for knowledge discovery and data mining is to estimate unobserved variables because latent variables can… Expand
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Highly Cited
2008
Highly Cited
2008
We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from… Expand
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2008
2008
In this paper, we describe two hierarchical Bayesian models for dependency trees. First, we show that Eisner’s classic generative… Expand
2003
2003
This paper considers a diversified world stock index in a continuous financial market with the growth optimal portfolio (GOP) as… Expand
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