Please use this identifier to cite or link to this item: https://doi.org/10.1198/016214506000001392
Title: Scan statistics with weighted observations
Authors: Chan, H.P. 
Zhang, N.R.
Keywords: Change of measure
DNA sequence
Importance sampling
Large deviation
Marked poisson process
Scan statistics
Issue Date: Jun-2007
Citation: Chan, H.P., Zhang, N.R. (2007-06). Scan statistics with weighted observations. Journal of the American Statistical Association 102 (478) : 595-602. ScholarBank@NUS Repository. https://doi.org/10.1198/016214506000001392
Abstract: We examine scan statistics for one-dimensional marked Poisson processes. Such statistics tabulate the maximum weighted count of event occurrences within a window of predetermined width over all windows within an observed interval. We derive analytical formulas and also give an importance sampling method for approximating the tail probabilities of scan statistics. Because high-throughput genomic sequencing has led to the availability of massive amounts of biomolecular sequence data, it is often of interest to search long DNA or protein sequences for local regions that are enriched for a certain characteristic. Thus scan statistics have become a useful tool in modern computational biology. We illustrate the application of our p value approximations with such examples. © 2007 American Statistical Association.
Source Title: Journal of the American Statistical Association
URI: http://scholarbank.nus.edu.sg/handle/10635/105347
ISSN: 01621459
DOI: 10.1198/016214506000001392
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

17
checked on Jan 23, 2022

WEB OF SCIENCETM
Citations

17
checked on Jan 13, 2022

Page view(s)

88
checked on Jan 20, 2022

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.