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Abstract Details
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Activity Number:
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254
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2012 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics and the Environment
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| Abstract - #306396 |
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Title:
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A Lagrange Interpolation for Spatial Process
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Author(s):
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Cheng Liu*+ and Hao Zhang
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Companies:
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Purdue University and Purdue University
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Address:
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2550 Yeager Rd., West Lafayette, IN, 47906, United States
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Keywords:
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EM algorithm ;
Geostatistics ;
Kriging ;
Non-parametric model ;
Spatio-temporal Process
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Abstract:
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We propose a Lagrange Interpolation approach modeling the spatial process. This approach results in a non-prarametric model which avoids the selection of parametric family of covariance function. We employ the EM algorithm to estimate the spatial covariance function. Our approach is capable of handling large data sets and has the potential benefit when generalized to spatio-temporal process. Some numerical results are shown to compare our approach to some other approaches.
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