This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
634
|
Type:
|
Contributed
|
Date/Time:
|
Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Statistical Computing
|
Abstract - #307405 |
Title:
|
Decentralized Multihypothesis Sequential Detection
|
Author(s):
|
Yan Wang*+ and Yajun Mei
|
Companies:
|
Georgia Institute of Technology and Georgia Institute of Technology
|
Address:
|
School of Industrial and Systems Engineering, Atlanta, GA, ,
|
Keywords:
|
unambiguous likelihood quantizers ;
maximin quantizers ;
decentralized sequential detection
|
Abstract:
|
In decentralized sequential hypothesis testing, at each time, each of a set of local sensors receives a raw observation and then sends a message to a fusion center which makes a final decision when observations are stopped. Due to limitations of channel bandwidth, it is required that the sensor messages belong to a finite alphabet, possibly binary. In this article, we assume that the raw observations are distributed according to one of M >= 2 pre-specified probability measures, and the fusion center has to utilize quantized sensor messages to decide which one is the true distribution. A main challenge is how to find good quantizers at the local sensors so as to achieve the overall efficiency. Asymptotically Bayes decentralized sequential tests are developed via a two-stage procedure, and the concept of "maximin quantizers" is introduced and analyzed in detail.
|
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 2010 program
|
2010 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.