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An efficient methodology for simulating multivariate non-Gaussian stochastic processes · Study

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ArticleAn efficient methodology for simulating multivariate non-Gaussian stochastic processes

Yang Li2024

Article2024

An efficient methodology for simulating multivariate non-Gaussian stochastic processes

Yang Li · Jun Xu

8 citations·0/0 files stored·Mechanical Systems and Signal Processing

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Probabilistic and Robust Engineering Design Seismic Performance and Analysis Statistical Distribution Estimation and Applications

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References

1972Digital simulation of random processes and its applications 1991Simulation of Stochastic Processes by Spectral Representation 1971Simulation of Multivariate and Multidimensional Random Processes 1996Simulation of Ergodic Multivariate Stochastic Processes 1988Nonlinear Vibration Models for Extremes and Fatigue 1996Simulation of Multi-Dimensional Gaussian Stochastic Fields by Spectral Representation 2001Simulation of Highly Skewed Non-Gaussian Stochastic Processes 2011A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process

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Details

Year2024

Typearticle

Published2024-01-09

VenueMechanical Systems and Signal Processing

ISSN-L0888-3270

Languageen

Citations8

Files0 public / 0

ShelfProbabilistic and Robust Engineering Design

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doi10.1016/j.ymssp.2023.111102

openalex_workW4390771303

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