Skip to search formSkip to main contentSkip to account menu

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… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Unsupervised term discovery is the task of identifying and grouping reoccurring word-like patterns from the untranscribed audio… 
2018
2018
For finding the appropriate number of clusters in short text clustering, models based on Dirichlet Multinomial Mixture (DMM… 
2014
2014
The Pitman-Yor process provides an elegant way to cluster data that exhibit power law behavior, where the number of clusters is… 
2012
2012
In this work, we propose the kernel Pitman-Yor process (KPYP) for nonparametric clustering of data with general spatial or… 
Highly Cited
2010
Highly Cited
2010
One important approach for knowledge discovery and data mining is to estimate unobserved variables because latent variables can… 
2009
2009
The Hierarchical Pitman Yor Process Language Model (HPYLM) is a Bayesian language model based on a nonparametric prior, the… 
Highly Cited
2008
Highly Cited
2008
We develop a statistical framework for the simultaneous, unsupervised segmentation and discovery of visual object categories from… 
2008
2008
In this paper, we describe two hierarchical Bayesian models for dependency trees. First, we show that Eisner’s classic generative… 
2005
2005
American put options written on an underlying stock following a Carr-Madan-Geman-Yor (CGMY) process are considered. It is known… 
2004
2004
This paper considers a diversified world stock index in a continuous financial market with the growth optimal portfolio (GOP) as…