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JMP 13 Predictive and Specialized Modeling
book

JMP 13 Predictive and Specialized Modeling

by SAS Institute
September 2016
Intermediate to advanced content levelIntermediate to advanced
366 pages
9h 24m
English
SAS Institute
Content preview from JMP 13 Predictive and Specialized Modeling
Chapter 14 
Gaussian Process
Fit Data Using Smoothing Models
Use the Gaussian Process platform to model the relationship between a continuous response and one or more predictors. These types of models are common in computer simulation experiments, such as the output of finite element codes, and they often perfectly interpolate the data. Gaussian processes can deal with these no-error-term models, in which the same input values always results in the same output value.
The Gaussian Process platform fits a spatial correlation model to the data. The correlation of the response between two observations decreases as the values of the independent variables become more distant.
One purpose for using this platform is to obtain a prediction formula that ...
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Publisher Resources

ISBN: 9781629605883