Method and System for Model Validation for Dynamic Systems Using Bayesian Principal Component Analysis

作者: Parakrama Valentine Weerappuli , Saeed David Barbat , Xiaomo Jiang , Yan Fu , Ren-Jye Yang

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摘要: A method and system for assessing the accuracy validity of a computer model constructed to simulate multivariate complex dynamic system. The exploit probabilistic principal component analysis along with Bayesian statistics, thereby taking into account uncertainty correlation in multiple response quantities. It enables analyst objectively quantify confidence models/simulations, thus providing rational, objective decision-making support assessment. validation methodology has broad applications models any type In disclosed example, it is used vehicle safety application.

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