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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134
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Type:
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Contributed
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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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IMS
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| Abstract - #308190 |
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Title:
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Some Large Sample Properties for Pairwise Likelihood-Based Estimators
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Author(s):
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Gongjun Xu*+ and Zhiliang Ying
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Companies:
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Columbia University and Columbia University
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Address:
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1255 Amsterdam Avenue, New York, NY, 10027,
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Keywords:
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Pairwise likelihood ;
Spatial data analysis ;
Dependent observations ;
Consistency of estimation ;
Normality of estimators ;
Estimating equation
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Abstract:
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Full likelihood analysis of spatially sampled/correlated observations can be difficult if not impossible. One way to get around such difficulty is through pseudo (pairwise) likelihood. We study large sample properties of the resulting estimators. Consistency and asymptotic normality are established under suitable regularity conditions with increasing domain. We show how the general theory can be applied to specific spatial models and sampling schemes.
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Authors who are presenting talks have a * after their name.
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