DocumentCode :
3339537
Title :
Nonparametric estimation of interaction functions for two-type pairwise interaction point processes
Author :
Gubner, John A. ; Chan, Wei-Bin
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
6
fYear :
2001
fDate :
2001
Firstpage :
3981
Abstract :
Nonparametric estimation of interaction functions for two-type pairwise interaction point processes is addressed. Such a problem is known to be challenging due to the intractable normalizing constant present in the density function. It is shown that the means of the marked interpoint distance functions embedded in the two-type pairwise interaction point process converge to the means of an inhomogeneous Poisson process. This suggests a simple and effective nonparametric estimation method. An example is presented to illustrate the efficacy of our method. Our results can be generalized to multitype point processes in a straightforward manner, although the notation is more involved
Keywords :
nonparametric statistics; parameter estimation; signal processing; stochastic processes; convergence; density function; inhomogeneous Poisson process; interaction functions; marked interpoint distance functions; nonparametric estimation; normalizing constant; two-type pairwise interaction point processes; Density functional theory; Environmental factors; Forestry; Mathematical model; Random variables; Seismology; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
ISSN :
1520-6149
Print_ISBN :
0-7803-7041-4
Type :
conf
DOI :
10.1109/ICASSP.2001.940716
Filename :
940716
Link To Document :
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