A nonparametric Bayesian test for detecting the difference in location parameters

Sunil Mathur

doi:10.1063/1.3275637

A nonparametric Bayesian test for detecting the difference in location parameters

Sunil Mathur

Graduate Studies

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

Abstract

In biomedical studies, detecting the changes in a response distribution under different testing conditions is one of the important issues. For example, increase in dose level may lead to increase or decrease in the gene expression level. To address this issue, we propose a nonparametric Bayesian test for testing the difference in location when samples are collected under two different conditions. We apply Dirichlet process priors to estimate the probabilities, which imply constraint on cumulative distribution functions of occurrence evaluated at cut-off value that partitions the expression range of that gene into two intervals. The proposed test can be easily extended for multiple samples comparisons in gene expression analysis.

Original language	English (US)
Title of host publication	Bayesian Inference and Maximum Entropy Methods in Science and Engineering - 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Pages	382-388
Number of pages	7
Volume	1193
DOIs	https://doi.org/10.1063/1.3275637
State	Published - Dec 1 2009
Event	29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering - Oxford, MS, United States Duration: Jul 5 2009 → Jul 10 2009

Other

Other	29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Country	United States
City	Oxford, MS
Period	7/5/09 → 7/10/09

Keywords

Dirichlet process
Gene expression
Location
Nonparametric Bayes

ASJC Scopus subject areas

Physics and Astronomy(all)

Access to Document

10.1063/1.3275637

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Cite this

A nonparametric Bayesian test for detecting the difference in location parameters. / Mathur, Sunil.

Bayesian Inference and Maximum Entropy Methods in Science and Engineering - 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. Vol. 1193 2009. p. 382-388.

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

Mathur, S 2009, A nonparametric Bayesian test for detecting the difference in location parameters. in Bayesian Inference and Maximum Entropy Methods in Science and Engineering - 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering. vol. 1193, pp. 382-388, 29th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Oxford, MS, United States, 7/5/09. https://doi.org/10.1063/1.3275637

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