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A method for the efficient construction and sampling of vector-valued translation random fields
9 references·1 citing·34 second hop
A method for the efficient construction and sampling of vector-valued translation random fields (2011)A method for the efficient construction a…A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process (2011)A simple and efficient method…Critical review and latest developments of a class of simulation algorithms for strongly non-Gaussian random fields (2008)Critical review and latest de…Stochastic Calculus: Applications in Science and Engineering (2002)Stochastic Calculus: Applicat…Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms (2002)Non-Gaussian simulation using…Simulation of Highly Skewed Non-Gaussian Stochastic Processes (2001)Simulation of Highly Skewed N…Simulation of homogeneous nonGaussian stochastic vector fields (1998)Simulation of homogeneous non…Statistical design and analysis of experiments: with applications to engineering and science (1990)Statistical design and analys…Digital Generation of Non‐Gaussian Stochastic Fields (1988)Digital Generation of Non‐Gau…Stationary and related stochastic processes (1968)Stationary and related stocha…Probability sensitivity estimation of linear stochastic finite element models applying Line Sampling (2019)Probability sensitivity estim…Digital simulation of random processes and its applications (1972)Simulation of Stochastic Processes by Spectral Representation (1991)Simulation of Ergodic Multivariate Stochastic Processes (1996)A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic vector process by a translation process with applications in wind velocity simulation (2012)Towards efficient uncertainty quantification in complex and large-scale biomechanical problems based on a Bayesian multi-fidelity scheme (2014)Modeling strongly non-Gaussian non-stationary stochastic processes using the Iterative Translation Approximation Method and Karhunen–Loève expansion (2015)Simulation of Multi-Dimensional Gaussian Stochastic Fields by Spectral Representation (1996)Stochastic Dynamics and Control (2006)Simulation of simply cross correlated random fields by series expansion methods (2007)Neumann Expansion for Stochastic Finite Element Analysis (1988)Monte Carlo techniques in computational stochastic mechanics (1998)Simulation of second-order processes using Karhunen–Loeve expansion (2002)Simulation of Multivariate and Multidimensional Random Processes (1971)A state-of-the-art report on computational stochastic mechanics (1997)Evaluation of Karhunen–Loève, Spectral, and Sampling Representations for Stochastic Processes (2006)An extended stochastic finite element method for solving stochastic partial differential equations on random domains (2008)Probabilistic Theory of Structural Dynamics (1976)Random data: Analysis and measurement procedures (1987)Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields (2007)The stochastic finite element method in structural reliability (1988)Structural Reliability Methods (1996)The stochastic finite element method: Past, present and future (2008)Sensitivity estimation of first excursion probabilities of linear structures subject to stochastic Gaussian loading (2021)A novel active learning Kriging based on improved Metropolis-Hastings and importance sampling for small failure probabilities (2024)Probabilistic engineering mechanics (1993)Stochastic Finite Elements (2009)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)Application of geographically weighted regression to the direct forecasting of transit ridership at station-level (2012)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Trustworthy Online Controlled Experiments (2020)Technical note: On the long-term statistics of extremes (1984)Approximations of first-passage times for differentiable processes based on higher-order threshold crossings (1995)On smoothness properties of spatial processes (2003)
this work references cited by second hop

References

  • 1990Statistical design and analysis of experiments: with applications to engineering and science951 cited
  • 2002Stochastic Calculus: Applications in Science and Engineering345 cited
  • 1988Digital Generation of Non‐Gaussian Stochastic Fields317 cited
  • 2001Simulation of Highly Skewed Non-Gaussian Stochastic Processes226 cited
  • 1968Stationary and related stochastic processes226 cited
  • 2011A simple and efficient methodology to approximate a general non-Gaussian stationary stochastic process by a translation process168 cited
  • 1998Simulation of homogeneous nonGaussian stochastic vector fields128 cited
  • 2002Non-Gaussian simulation using Hermite polynomial expansion: convergences and algorithms122 cited
  • 2008Critical review and latest developments of a class of simulation algorithms for strongly non-Gaussian random fields118 cited

Cited by

  • 2019Probability sensitivity estimation of linear stochastic finite element models applying Line Sampling14 cited

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