SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
An efficient methodology for simulating multivariate non-Gaussian stochastic processes
14 references·0 citing·28 second hop
An efficient methodology for simulating multivariate non-Gaussian stochastic processes (2024)An efficient methodology for simulating m…Neural network-aided simulation of non-Gaussian stochastic processes (2023)Neural network-aided simulati…Simulating multivariate stationary non-Gaussian process based on wavenumber–frequency spectrum and unified Hermite polynomial model (2022)Simulating multivariate stati…Simulation of ergodic multivariate stochastic processes: An enhanced spectral representation method (2021)Simulation of ergodic multiva…Simulation of wind velocity time histories on long span structures modeled as non-Gaussian stochastic waves (2020)Simulation of wind velocity t…Unified Hermite Polynomial Model and Its Application in Estimating Non-Gaussian Processes (2019)Unified Hermite Polynomial Mo…A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process (2011)A simple and efficient method…Simulation of Highly Skewed Non-Gaussian Stochastic Processes (2001)Simulation of Highly Skewed N…Moment-Based Load and Response Models With Wind Engineering Applications (2000)Moment-Based Load and Respons…Simulation of Multi-Dimensional Gaussian Stochastic Fields by Spectral Representation (1996)Simulation of Multi-Dimension…Simulation of Ergodic Multivariate Stochastic Processes (1996)Simulation of Ergodic Multiva…Simulation of Stochastic Processes by Spectral Representation (1991)Simulation of Stochastic Proc…Nonlinear Vibration Models for Extremes and Fatigue (1988)Nonlinear Vibration Models fo…Digital simulation of random processes and its applications (1972)Digital simulation of random …Simulation of Multivariate and Multidimensional Random Processes (1971)Simulation of Multivariate an…Stochastic Calculus: Applications in Science and Engineering (2002)Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme (2014)An explicit method for simulating non-Gaussian and non-stationary stochastic processes by Karhunen-Loève and polynomial chaos expansion (2018)UQpy: A general purpose Python package and development environment for uncertainty quantification (2020)Monte Carlo solution of structural dynamics (1972)Simulation of homogeneous nonGaussian stochastic vector fields (1998)Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields (2007)Stochastic Analysis (1997)Moment-Based Translation Model for Hardening Non-Gaussian Response Processes (2015)Maximum entropy distribution with fractional moments for reliability analysis (2019)Probabilistic Theory of Structural Dynamics (1976)Stochastic averaging: An approximate method of solving random vibration problems (1986)Monte Carlo techniques in computational stochastic mechanics (1998)Data-driven uncertainty quantification using the arbitrary polynomial chaos expansion (2012)Stochastic Dynamics of Marine Structures (2012)Non-Normal Dependent Vectors in Structural Safety (1981)Statistical Size Distributions in Economics and Actuarial Sciences (2003)Reliability analysis of CRTS II track slab considering multiple failure modes (2020)Simulating Stationary Non-Gaussian Processes Based on Unified Hermite Polynomial Model (2020)An efficient extreme value moment method combining adaptive Kriging model for time-variant imprecise reliability analysis (2022)Stochastic Dynamics and Control (2006)Simulation of simply cross correlated random fields by series expansion methods (2007)Improvements to and limitations of Latin hypercube sampling (1998)Random function based spectral representation of stationary and non-stationary stochastic processes (2016)Simulation of Stationary Gaussian Processes in [0, 1]d (1994)An Introduction to Computational Stochastic PDEs (2014)The stochastic finite element method: Past, present and future (2008)Fast Numerical Methods for Stochastic Computations: A Review (2009)
this work references cited by second hop

References

  • 1972Digital simulation of random processes and its applications1,663 cited
  • 1991Simulation of Stochastic Processes by Spectral Representation1,379 cited
  • 1971Simulation of Multivariate and Multidimensional Random Processes659 cited
  • 1996Simulation of Ergodic Multivariate Stochastic Processes547 cited
  • 1988Nonlinear Vibration Models for Extremes and Fatigue535 cited
  • 1996Simulation of Multi-Dimensional Gaussian Stochastic Fields by Spectral Representation509 cited
  • 2001Simulation of Highly Skewed Non-Gaussian Stochastic Processes226 cited
  • 2011A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process168 cited
  • 2000Moment-Based Load and Response Models With Wind Engineering Applications140 cited
  • 2019Unified Hermite Polynomial Model and Its Application in Estimating Non-Gaussian Processes71 cited
  • 2020Simulation of wind velocity time histories on long span structures modeled as non-Gaussian stochastic waves33 cited
  • 2021Simulation of ergodic multivariate stochastic processes: An enhanced spectral representation method31 cited
  • 2022Simulating multivariate stationary non-Gaussian process based on wavenumber–frequency spectrum and unified Hermite polynomial model26 cited
  • 2023Neural network-aided simulation of non-Gaussian stochastic processes

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

20 cited

Cited by

No citing works inside the corpus for this window.