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