The translation model is a useful tool to characterize stochastic processes or random fields. In this paper, this model is extended to simulate stochastic ...
Apr 1, 2019 · ABSTRACT The translation model is a useful tool to characterize stochastic processes or random fields. In this paper, this model is extended ...
Aug 1, 2022 · First, the whole simulation framework of stationary non-Gaussian stochastic vector processes by the translation process and the spectral ...
Jun 21, 2021 · We proposed a new iterative power and amplitude correction (IPAC) algorithm to simulate nonstationary and non-Gaussian processes.
This model is extended to simulate stochastic processes with discrete marginal distributions and the spectral representation method is employed to generate ...
Mar 4, 2019 · In this paper, this model is extended to simulate stochastic processes with discrete marginal distributions. A theoretical discussion is ...
Simulation of Stationary Non-Gaussian Translation Processes
ascelibrary.org › doi › (ASCE)0733-939...
A simulation algorithm is developed for generating realizations of non-Gaussian stationary translation processes X(t) with a specified marginal distribution ...
ABSTRACT: The simulation of non-stationary and non-Gaussian stochastic processes is a challenging problem of considerable practical interest.
Jun 21, 2021 · We proposed a new iterative power and amplitude correction (IPAC) algorithm to simulate nonstationary and non-Gaussian processes.
A model for simulation of non-stationary, non-Gaussian processes based on non-linear translation of Gaussian random vectors is presented.