A stick-breaking construction of the beta process

John Paisley; Aimee Zaas; Christopher W. Woods; Geoffrey S. Ginsburg; Lawrence Carin

A stick-breaking construction of the beta process

John Paisley, Aimee Zaas, Christopher W. Woods, Geoffrey S. Ginsburg, Lawrence Carin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich-let process (Sethuraman, 1994) applied to the beta distribution. We derive an inference procedure that relies on Monte Carlo integration to reduce the number of parameters to be inferred, and present results on synthetic data, the MNIST handwritten digits data set and a time-evolving gene expression data set. Copyright 2010 by the author(s)/owner(s).

Original language	English (US)
Title of host publication	ICML 2010 - Proceedings, 27th International Conference on Machine Learning
Pages	847-854
Number of pages	8
State	Published - Sep 17 2010
Externally published	Yes

Cite this

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title = "A stick-breaking construction of the beta process",

abstract = "We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich-let process (Sethuraman, 1994) applied to the beta distribution. We derive an inference procedure that relies on Monte Carlo integration to reduce the number of parameters to be inferred, and present results on synthetic data, the MNIST handwritten digits data set and a time-evolving gene expression data set. Copyright 2010 by the author(s)/owner(s).",

author = "John Paisley and Aimee Zaas and Woods, {Christopher W.} and Ginsburg, {Geoffrey S.} and Lawrence Carin",

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AU - Zaas, Aimee

AU - Woods, Christopher W.

AU - Ginsburg, Geoffrey S.

AU - Carin, Lawrence

N1 - Generated from Scopus record by KAUST IRTS on 2021-02-09

PY - 2010/9/17

Y1 - 2010/9/17

N2 - We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich-let process (Sethuraman, 1994) applied to the beta distribution. We derive an inference procedure that relies on Monte Carlo integration to reduce the number of parameters to be inferred, and present results on synthetic data, the MNIST handwritten digits data set and a time-evolving gene expression data set. Copyright 2010 by the author(s)/owner(s).

AB - We present and derive a new stick-breaking construction of the beta process. The construction is closely related to a special case of the stick-breaking construction of the Dirich-let process (Sethuraman, 1994) applied to the beta distribution. We derive an inference procedure that relies on Monte Carlo integration to reduce the number of parameters to be inferred, and present results on synthetic data, the MNIST handwritten digits data set and a time-evolving gene expression data set. Copyright 2010 by the author(s)/owner(s).

UR - http://www.scopus.com/inward/record.url?scp=77956540038&partnerID=8YFLogxK

M3 - Conference contribution

SN - 9781605589077

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EP - 854

BT - ICML 2010 - Proceedings, 27th International Conference on Machine Learning

ER -

A stick-breaking construction of the beta process

Abstract

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