• 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