Journal Article10.1016/J.RESS.2006.03.006
Bayesian risk-based decision method for model validation under uncertainty
Xiaomo Jiang,Sankaran Mahadevan +1 more
104
TL;DR: The proposed method can effectively integrate optimal experimental design into model validation to simultaneously reduce the cost and improve the accuracy of reliability model assessment.
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About: This article is published in Reliability Engineering & System Safety. The article was published on 01 Jun 2007. The article focuses on the topics: Decision model & Bayesian statistics.
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Citations
Multivariate significance testing and model calibration under uncertainty
TL;DR: In this paper, the authors address the validation and calibration of computer simulations using the thermal challenge problem developed at Sandia National Laboratories for illustration, and illustrate the use of Hotelling's T2 statistic for multivariate significance testing, with emphasis on the formulation and interpretation of such an analysis for validation assessment.
71
Probabilistic risk assessment based model validation method using Bayesian network
TL;DR: A new approach to validation is presented in this paper that uses a probabilistic index as a degree of validation and propagates it through the system using the performance-based Probabilistic risk assessment (PRA) framework, which utilizes the power of Bayesian statistic.
70
A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images
TL;DR: The proposed adaptive method is based on maximum likelihood (ML) classification and uses a priori information and the spatial relationship on the image domain to recover the main text in the document image, including low-intensity and weak strokes.
61
Bayesian validation assessment of multivariate computational models
Xiaomo Jiang,Sankaran Mahadevan +1 more
TL;DR: The proposed methodology is implemented in the validation of a transient heat conduction model, using a multivariate data set from experiments and provides a quantitative approach to facilitate rational decisions in multivariate model assessment under uncertainty.
51
Fuzzy stochastic neural network model for structural system identification
TL;DR: A dynamic fuzzy stochastic neural network model for nonparametric system identification using ambient vibration data to handle two types of imprecision in the sensed data: fuzzy information and measurement uncertainties is presented.
49
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Bayesian methodology for reliability model acceptance
Ruoxue Zhang,Sankaran Mahadevan +1 more
TL;DR: A methodology to assess the reliability computation model validity using the concept of Bayesian hypothesis testing, by comparing the model prediction and experimental observation, when there is only one computational model available to evaluate system behavior.
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General Concepts for Experimental Validation of ASCI Code Applications
Timothy G. Trucano,Martin Pilch,William L. Oberkampf +2 more
- 01 Mar 2002
TL;DR: General concepts in a broadly applicable methodology for validation of Accelerated Strategic Computing Initiative (ASCI) codes for Defense Programs applications at Sandia National Laboratories are presented.