Robust optimization of a dynamic Black-box system under severe uncertainty: A distribution-free framework von Lye, Adolphus, Kitahara, Masaru, Broggi, Matteo, Patelli, Edoardo

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Sampling methods for solving Bayesian model updating problems: A tutorial von Lye, Adolphus, Cicirello, Alice, Patelli, Edoardo

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Advances in the Reliability Analysis of Coherent Systems under Limited Data with Confidence Boxes von Lye, Adolphus, Vechgama, Wasin, Sallak, Mohamed, Destercke, Sebastien, Ferson, Scott, Xiao, Sicong

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An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo von Lye, Adolphus, Cicirello, Alice, Patelli, Edoardo

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Data-Driven Bayesian Inference for Stochastic Model Identification of Nonlinear Aeroelastic Systems von McGurk, Michael, Lye, Adolphus, Renson, Ludovic, Yuan, Jie

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Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data von Lye, Adolphus, Ferson, Scott, Xiao, Sicong

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An Overview of Probabilistic Safety Assessment for Nuclear Safety: What Has Been Done, and Where Do We Go from Here? von Lye, Adolphus, Chang, Jathniel, Xiao, Sicong, Chung, Keng Yeow

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Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter in Engineering Applications von Lye, Adolphus, Marino, Luca, Cicirello, Alice, Patelli, Edoardo

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Towards robust prediction of material properties for nuclear reactor design under scarce data -- a study in creep rupture property von Chen, Yu, Patelli, Edoardo, Yang, Zhen, Lye, Adolphus

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