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Cited by

• 2011A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process168 cited
• 1993Probabilistic engineering mechanics160 cited
• 2009Stochastic Finite Elements113 cited
• 2008Stochastic finite elements: Computational approaches to stochastic partial differential equations98 cited
• 2014Nonstationary Stochastic Response Determination of Nonlinear Systems: A Wiener Path Integral Formalism94 cited
• 2011Global sensitivity analysis: A flexible and efficient framework with an example from stochastic hydrogeology80 cited
• 2007QUANTIFYING UNCERTAINTY: MODERN COMPUTATIONAL REPRESENTATION OF PROBABILITY AND APPLICATIONS77 cited
• 2008A systematic approach to model validation based on Bayesian updates and prediction related rejection criteria76 cited
• 2019A compatible probabilistic framework for quantification of simultaneous aleatory and epistemic uncertainty of basic parameters of structures by synthesizing the change of measure and change of random variables75 cited
• 2013Estimation of evolutionary spectra for simulation of non-stationary and non-Gaussian stochastic processes71 cited
• 2013Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media70 cited
• 2003A Review of Recent Developments in the Numerical Solution of Stochastic Partial Differential Equations (Stochastic Finite Elements)