Title: Case specific prediction intervals for tri-PLS1: The full local linearisation
Authors: Serneels, Sven ×
Faber, Klaas
Verdonck, Tim
Van Espen, Pierre J #
Issue Date: 2011
Publisher: Elsevier Science Pub. Co.
Series Title: Chemometrics and Intelligent Laboratory Systems vol:108 issue:2 pages:93-99
Abstract: A new method to estimate case specific prediction uncertainty for univariate trilinear partial least squares (tri-PLS1) regression is introduced. This method is, from a theoretical point of view, the most exact finite sample approximation to true prediction uncertainty that has been reported up till now. Using the new method, different error sources can be propagated, which is an advantage that cannot be offered by data driven approaches such as the bootstrap. In a concise example, it is illustrated how the method can be applied. In the Appendix, efficient algorithms are presented to compute the estimates required. (C) 2011 Elsevier B.V. All rights reserved.
ISSN: 0169-7439
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Statistics Section
× corresponding author
# (joint) last author

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