DocumentCode
1355786
Title
Performance analysis of hypothesis testing for sparse pairwise interaction point processes
Author
Gubner, John A. ; Chang, Wei-Bin ; Hayat, Majeed M.
Author_Institution
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume
46
Issue
4
fYear
2000
fDate
7/1/2000 12:00:00 AM
Firstpage
1357
Lastpage
1365
Abstract
The sufficient statistic for performing the likelihood ratio test for pairwise interaction point processes is well-known; however, the evaluation of its performance is a very difficult problem. It is shown that the distribution of the sufficient statistic can be approximated by the distribution of a Poisson-driven shot-noise random variable, which can be readily computed
Keywords
Poisson distribution; shot noise; statistical analysis; Poisson-driven shot-noise random variable; hypothesis testing; likelihood ratio test; performance analysis; sparse pairwise interaction point processes; sufficient statistic distribution; Distributed computing; Environmental factors; Forestry; Geophysics computing; Performance analysis; Performance evaluation; Random variables; Statistical analysis; Statistical distributions; Testing;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.850675
Filename
850675
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