An information aggregation method for hierarchical system reliability analysis with insufficient reliability information based on Bayesian Melding Method

Multi-level Information Aggregation for Reliability Assurance of Hierarchical Systems

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Matrix-based System Reliability Method

Risk assessment of urban infrastructure networks under natural and man-made hazards is often performed by repeated computational simulations based on random samples of hazard intensities and corresponding component status. This sampling-based approach may prevent near-real-time application of probabilistic methods to hazard mitigation of infrastructure networks and risk-informed decision suppor...

eqr094: Hierarchical MCMC for Bayesian System Reliability

Hierarchical models are one of the central tools of Bayesian analysis. They offer many advantages, including the ability to borrow strength to estimate individual parameters and the ability to specify complex models that reflect engineering and physical realities. Markov chain Monte Carlo is a set of algorithms that allow Bayesian inference in a variety of models. We illustrate hierarchical mod...

Bayesian Reliability Analysis with Evolving, Insufficient, and Subjective Data Sets

Bayesian Methods for Estimating System Reliability Using Heterogeneous Multilevel Information

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