Finding a minimally informative Dirichlet prior distribution using least squares
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DOI: 10.1016/j.ress.2010.11.008
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Cited by:
- Qin, Hao & Stewart, Mark G., 2020. "Construction defects and wind fragility assessment for metal roof failure: A Bayesian approach," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
- Utkin, Lev V. & Coolen, Frank P.A. & Gurov, Sergey V., 2015. "Imprecise inference for warranty contract analysis," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 31-39.
- Coolen, Frank P.A. & Coolen-Maturi, Tahani, 2015. "Predictive inference for system reliability after common-cause component failures," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 27-33.
- Le Duy, Tu Duong & Vasseur, Dominique, 2018. "A practical methodology for modeling and estimation of common cause failure parameters in multi-unit nuclear PSA model," Reliability Engineering and System Safety, Elsevier, vol. 170(C), pages 159-174.
- Mi, Jinhua & Beer, Michael & Li, Yan-Feng & Broggi, Matteo & Cheng, Yuhua, 2020. "Reliability and importance analysis of uncertain system with common cause failures based on survival signature," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
- Zheng, Xiaoyu & Yamaguchi, Akira & Takata, Takashi, 2013. "α-Decomposition for estimating parameters in common cause failure modeling based on causal inference," Reliability Engineering and System Safety, Elsevier, vol. 116(C), pages 20-27.
- Xiang, W. & Zhou, W., 2021. "Bayesian network model for predicting probability of third-party damage to underground pipelines and learning model parameters from incomplete datasets," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
- Troffaes, Matthias C.M. & Walter, Gero & Kelly, Dana, 2014. "A robust Bayesian approach to modeling epistemic uncertainty in common-cause failure models," Reliability Engineering and System Safety, Elsevier, vol. 125(C), pages 13-21.
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Keywords
Alpha-factor; Common-cause failures; Constrained noninformative prior; Jeffreys prior;All these keywords.
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