Computer model validation with functional output
M. J. Bayarri, J. O. Berger, J. Cafeo, G. Garcia-Donato, F. Liu, J., Palomo, R. J. Parthasarathy, R. Paulo, J. Sacks, D. Walsh

TL;DR
This paper introduces a wavelet-based hierarchical validation methodology for computer models that effectively handles irregular functional data and input uncertainties, demonstrated through an engineering stress analysis case study.
Contribution
It develops a novel wavelet-based approach for validating computer models with complex functional outputs and uncertainties, extending existing methodologies.
Findings
Effective handling of irregular functional data
Incorporation of input uncertainty into validation
Successful application to engineering stress analysis
Abstract
A key question in evaluation of computer models is Does the computer model adequately represent reality? A six-step process for computer model validation is set out in Bayarri et al. [Technometrics 49 (2007) 138--154] (and briefly summarized below), based on comparison of computer model runs with field data of the process being modeled. The methodology is particularly suited to treating the major issues associated with the validation process: quantifying multiple sources of error and uncertainty in computer models; combining multiple sources of information; and being able to adapt to different, but related scenarios. Two complications that frequently arise in practice are the need to deal with highly irregular functional data and the need to acknowledge and incorporate uncertainty in the inputs. We develop methodology to deal with both complications. A key part of the approach utilizes…
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