JSM 2005 - Toronto

Abstract #302878

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 403
Type: Contributed
Date/Time: Wednesday, August 10, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics and the Environment
Abstract - #302878
Title: Fitting Spatial Point Process Models Using Subsampling
Author(s): Yongtao Guan*+
Companies: University of Miami
Address: Department of Management Science, Coral Gables, FL, 33124, United States
Keywords: Spatial Point Processes ; K-function ; Subsampling
Abstract:

The K-function is useful for fitting point process models. Typically a discrepancy measure between the powerly transformed empirical and theoretical K-function values is defined and the minimizers of the defined discrepancy over the parameter space give the estimated values of the parameters. A difficulty with applying this approach is the selection of the power transformation parameter. In this talk, we discuss a new fitting procedure using subsampling that will eliminate such a difficulty.

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Revised March 2005