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Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation
11 references·1 citing·46 second hop
Efficient quantification of composite spatial variability: A multiscale framework that captures intercorrelation (2023)Efficient quantification of composite spa…Stochastic, probabilistic and reliability analyses of internally-pressurised filament wound composite tubes using artificial neural network metamodels (2022)Stochastic, probabilistic and…Sparse Polynomial Chaos Expansion for Uncertainty Quantification of Composite Cylindrical Shell with Geometrical and Material Uncertainty (2022)Sparse Polynomial Chaos Expan…Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel (2022)Elucidating appealing feature…Analyzing Dependent Data with Vine Copulas: A Practical Guide With R (2019)Analyzing Dependent Data with…Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels (2018)Combining digital image corre…Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties (2017)Stochastic finite element ana…Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion (2015)Modeling strongly non-Gaussia…Selecting and estimating regular vine copulae and application to financial returns (2012)Selecting and estimating regu…Pair-copula constructions of multiple dependence (2007)Pair-copula constructions of …Optimal Discretization of Random Fields (1993)Optimal Discretization of Ran…The stochastic finite element method in structural reliability (1988)The stochastic finite element…Efficient uncertainty propagation for stochastic multiscale linear elasticity (2024)Efficient uncertainty propaga…Digital simulation of random processes and its applications (1972)Simulation of Stochastic Processes by Spectral Representation (1991)Stochastic Finite Elements: A Spectral Approach (1991)Dynamic response analysis of structure under time-variant interval process model (2016)Simulation of cross-correlated random field samples from sparse measurements using Bayesian compressive sensing (2018)A sample-based iterative scheme for simulating non-stationary non-Gaussian stochastic processes (2020)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)Generalized autoregressive conditional heteroskedasticity (1986)Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances (1992)A review of copula models for economic time series (2012)Modeling Dependence with C- and D-Vine Copulas: The R Package CDVine (2013)An Introduction to Copulas (1999)Extreme Correlation of International Equity Markets (2001)Quantitative Risk Management: Concepts, Techniques, and Tools (2005)Truncated regular vines in high dimensions with application to financial data (2012)The impact of energy prices on clean energy stock prices. 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this work references cited by second hop

References

  • 2007Pair-copula constructions of multiple dependence2,055 cited
  • 2012Selecting and estimating regular vine copulae and application to financial returns743 cited
  • 1993Optimal Discretization of Random Fields728 cited
  • 1988The stochastic finite element method in structural reliability519 cited
  • 2017Stochastic finite element analysis of composite structures based on mesoscale random fields of material properties118 cited
  • 2015Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion93 cited
  • 2022Elucidating appealing features of differentiable auto-correlation functions: A study on the modified exponential kernel45 cited
  • 2019Analyzing Dependent Data with Vine Copulas: A Practical Guide With R43 cited
  • 2022Stochastic, probabilistic and reliability analyses of internally-pressurised filament wound composite tubes using artificial neural network metamodels26 cited
  • 2018Combining digital image correlation and probabilistic approaches for the reliability analysis of composite pressure vessels18 cited
  • 2022Sparse Polynomial Chaos Expansion for Uncertainty Quantification of Composite Cylindrical Shell with Geometrical and Material Uncertainty12 cited

Cited by

  • 2024Efficient uncertainty propagation for stochastic multiscale linear elasticity9 cited

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