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
fDate :
7/1/2000 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
