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A causal perspective on reliability assessment.

Conference ·

Abstract not provided.

Research Organization:
Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1639612
Report Number(s):
SAND2019-3596C; 674056
Country of Publication:
United States
Language:
English

References (23)

Improving the analysis of dependable systems by mapping fault trees into Bayesian networks journal March 2001
Validation of reliability computational models using Bayes networks journal February 2005
Value of Information Analysis in Environmental Health Risk Management Decisions: Past, Present, and Future journal June 2004
Test Resource Allocation in Hierarchical Systems Using Bayesian Networks journal March 2013
Knowledge discovery from observational data for process control using causal Bayesian networks journal March 2007
Selection of model discrepancy priors in Bayesian calibration journal November 2014
Stan : A Probabilistic Programming Language journal January 2017
Causal inference and the data-fusion problem journal July 2016
Bias Formulas for Sensitivity Analysis of Unmeasured Confounding for General Outcomes, Treatments, and Confounders journal January 2011
Data, Design, and Background Knowledge in Etiologic Inference journal January 2001
Causal Knowledge as a Prerequisite for Confounding Evaluation: An Application to Birth Defects Epidemiology journal January 2002
Application of Bayesian network to the probabilistic risk assessment of nuclear waste disposal journal May 2006
Testing the untestable: reliability in the 21st century journal March 2003
Distinguishing between model- and data-driven inferences for high reliability statistical predictions journal December 2018
Foundational Issues in Risk Assessment and Risk Management: Perspectives journal October 2013
Ideas underlying the Quantification of Margins and Uncertainties journal September 2011
Quantification of margins and uncertainties: A probabilistic framework journal September 2011
Clarifying Types of Uncertainty: When Are Models Accurate, and Uncertainties Small?: Commentary journal October 2011
Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity journal November 2017
Quantification of margins and uncertainties of complex systems in the presence of aleatoric and epistemic uncertainty journal September 2011
Reliability: The Other Dimension of Quality journal January 2004
Information Value Theory journal January 1966
Safety analysis in process facilities: Comparison of fault tree and Bayesian network approaches journal August 2011


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