A Frequentist Approach to Computer Model Calibration
Volume: 79, Issue: 2, Pages: 635 - 648
Published: May 5, 2016
Abstract
Summary The paper considers the computer model calibration problem and provides a general frequentist solution. Under the framework proposed, the data model is semiparametric with a non-parametric discrepancy function which accounts for any discrepancy between physical reality and the computer model. In an attempt to solve a fundamentally important (but often ignored) identifiability issue between the computer model parameters and the...
Paper Details
Title
A Frequentist Approach to Computer Model Calibration
Published Date
May 5, 2016
Volume
79
Issue
2
Pages
635 - 648
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