Prediction [electronic resource] : Design of experiments based on approximating covariance kernels.
Saved in:
| Online Access: |
Online Access |
|---|---|
| Corporate Author: | |
| Format: | Government Document Electronic eBook |
| Language: | English |
| Published: |
Washington, D.C. : Oak Ridge, Tenn. :
United States. Dept. of Energy. Office of Energy Research ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy,
1998.
|
| Subjects: |
| Abstract: | Using Mercer̀s expansion to approximate the covariance kernel of an observed random function the authors transform the prediction problem to the regression problem with random parameters. The latter one is considered in the framework of convex design theory. First they formulate results in terms of the regression model with random parameters, then present the same results in terms of the original problem. |
|---|---|
| Item Description: | Published through the Information Bridge: DOE Scientific and Technical Information. 11/01/1998. "ORNL/CP--99704" "CONF-9806144--" "DE99000244" "KJ0101030" 3. St. Petersburg international workshop on simulation, St. Petersburg (Russian Federation), 28 Jun - 3 Jul 1998. Fedorov, V. Oak Ridge National Lab., Computer Science and Mathematics Div., TN (United States) |
| Physical Description: | 7 p. |