This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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102
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Type:
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Invited
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Date/Time:
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Monday, August 2, 2010 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #305957 |
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Title:
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A Weighted Estimating Equation Approach for Inhomogeneous Spatial Point Processes
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Author(s):
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Yongtao Guan*+
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Companies:
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Yale University
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Address:
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60 College St, New Haven, CT, 06473, USA
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Keywords:
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Point process ;
Estimating equation
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Abstract:
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We introduce a new estimation method based on weighted estimating equations to fit parametric intensity function models for inhomogeneous spatial point processes. The weights involved are determined in a way such that they can incorporate both inhomogeneity and dependence information of the process. Extensive simulations show that significant efficiency gains can be achieved for non-Poisson processes, compared to the commonly used Poisson maximum likelihood estimation method. An application to two tropical forest data examples illustrates the use of the proposed method in a real life setting.
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