Some studies have used parameter screening to make the calibration of a computationally expensive model possible. In this paper we introduce a new methodology ...
Apr 28, 2016 · In this paper we introduce a new methodology for parameter screening, based on canonical correlation analysis. Furthermore we show how ...
Oct 24, 2013 · Selecting Parameters for Bayesian Calibration of a Process-Based Model: A Methodology Based on Canonical Correlation Analysis. ∗. F. Minunno ...
Nov 13, 2013 · Selecting parameters for Bayesian calibration of a process-based model: a methodology based on canonical correlation analysis · Abstract/Summary.
Apr 25, 2024 · Selecting Parameters for Bayesian Calibration of a Process-Based Model: A Methodology Based on Canonical Correlation Analysis. SIAM/ASA J ...
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Selecting parameters for Bayesian calibration of a process-based model: a methodology based on canonical correlation analysis. J. Uncertainty Quantification ...
logL distributions for the four calibrations carried out.
www.researchgate.net › figure › logL-dis...
... Selecting Parameters for Bayesian Calibration of a Process-Based Model: A Methodology Based on Canonical Correlation Analysis | Bayesian statistics is ...
and titled: “Selecting parameters for Bayesian calibration of a process-based model: a methodology based on canonical correlation analysis”. Minunno et al ...
May 15, 2019 · Selecting parameters for bayesian calibration of a process-based model: a methodology based on canonical correlation analysis. SIAM/ASA J ...
Mar 17, 2015 · Selecting parameters for Bayesian calibration of a process-based model: a methodology based on canonical correlation analysis . SIAM/ASA J ...