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Abstract Details

Activity Number: 254
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics and the Environment
Abstract - #306396
Title: A Lagrange Interpolation for Spatial Process
Author(s): Cheng Liu*+ and Hao Zhang
Companies: Purdue University and Purdue University
Address: 2550 Yeager Rd., West Lafayette, IN, 47906, United States
Keywords: EM algorithm ; Geostatistics ; Kriging ; Non-parametric model ; Spatio-temporal Process

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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