The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
80
|
Type:
|
Contributed
|
Date/Time:
|
Sunday, July 29, 2012 : 4:00 PM to 5:50 PM
|
Sponsor:
|
Section on Bayesian Statistical Science
|
Abstract - #306529 |
Title:
|
Sampling Designs for a Multispecies Assemblage with Unknown Heterogeneity
|
Author(s):
|
Hongmei Zhang and Kaushik Ghosh*+ and Pulak Ghosh
|
Companies:
|
University of South Carolina and University of Nevada, Las Vegas and Indian Institute of Management, Bangalore
|
Address:
|
Department of Mathematical Sciences, Las Vegas, NV, 89154-4020, United States
|
Keywords:
|
Cluster analysis ;
Sample size ;
Dirichlet process ;
Multivariate hypergeometric distribution
|
Abstract:
|
In a sample of mRNA species counts, sequences without duplicates or with small numbers of copies are likely to carry information related to mutations or diseases and can be of great interest. However, in some situations, sequence abundance is unknown and sequencing the whole sample to find the rare sequences is not practically possible. To collect mRNA sequences of interest, or more generally, species of interest, we propose a two-phase Bayesian sampling method that addresses these concerns. The first phase of the design is used to infer sequence (species) abundance levels through a cluster analysis applied to a pilot data set. The clustering method is built upon a multivariate hypergeometric model with a Dirichlet process prior for species relative frequencies. The second phase, through Monte Carlo simulations, infers the sample size necessary to collect a certain number of species of particular interest. Efficient posterior computing schemes are proposed. The developed approach is demonstrated and evaluated via simulations. An mRNA segment data set is used to illustrate and motivate the proposed sampling method.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.