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Abstract Details

Activity Number: 596
Type: Topic Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics and the Environment
Abstract - #306126
Title: How Do the Asymptotics Help the Spatial Modeling?
Author(s): Hao Zhang*+
Companies: Purdue University
Address: 250 N. University Street, West Lafayette, IN, 47907,
Keywords: infill asymptotics ; maximum likelihood estimator ; spatial statistics
Abstract:

I will review some asymptotic results that are useful for spatial modeling. The recent advances in the infill asymptotic theory have resulted in computationally more efficient algorithms that yield statistical estimators as efficient as the maximum likelihood estimators. These results also bring about deep understanding of what aspect of a spatial model that we should pay more attention to. In addition, I will review some examples where models were proposed in the absence of asymptotic results that are not appropriate for fitting real data.


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