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Activity Number:
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401
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Type:
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Invited
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Date/Time:
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Wednesday, August 1, 2007 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #307975 |
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Title:
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Nonstationary Covariance Models for TOMS Ozone Data
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Author(s):
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Mikyoung Jun*+
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Companies:
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Texas A&M University
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Address:
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, , ,
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Keywords:
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spherical process ; Nonstationary spatial covariance function ; TOMS ozone data
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Abstract:
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TOMS ozone data show complicated nonstationary covariance structure. In particular, there is a clear dependency of the covariance structure on latitude and Northern and Southern hemisphere may show different patterns of covariance structure as well. We model TOMS ozone data on the globe through a rich and flexible nonstationary covariance models, which is an extension of the general model framework in Jun and Stein (2004). Empirical measures of coefficients of differential operators for the models in Jun and Stein (2004) will be given. Optimal interpolation results based on these models and computational issues in calculating the covariance matrices will be discussed.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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