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Gaussian likelihood inference on data from trans‐Gaussian random fields with Matérn covariance function

Environmetrics (London, Ont.), 2018-08, Vol.29 (5-6), p.n/a

2018

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Lévy-based Modelling in Brain Imaging

Scandinavian journal of statistics, 2013-09, Vol.40 (3), p.511-529

2013

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Theory and generation of conditional, scalable sub‐Gaussian random fields

Water resources research, 2016-03, Vol.52 (3), p.1746-1761

2016

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Multivariate copula-based framework for stochastic analysis of landslide runout distance

Reliability engineering & system safety, 2024-10, Vol.250, p.110270, Article 110270

2024

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Tukey g-and-h Random Fields

Journal of the American Statistical Association, 2017-07, Vol.112 (519), p.1236-1249

2017

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A framework for conditional simulation of nonstationary non-Gaussian random field and multivariate processes

Mechanical systems and signal processing, 2023-01, Vol.183, p.109646, Article 109646

2023

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A model to simulate multidimensional nonstationary and non-Gaussian fields based on S-transform

Mechanical systems and signal processing, 2021-10, Vol.159, p.107789, Article 107789

2021

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A novel general method for simulating a one dimensional random field based on the active learning Kriging model

Probabilistic engineering mechanics, 2024-01, Vol.75, p.103579, Article 103579

2024

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Factor Copula Models for Replicated Spatial Data

Journal of the American Statistical Association, 2018-01, Vol.113 (521), p.467-479

2018

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A non-local probabilistic method for modeling of crack propagation

International journal of mechanical sciences, 2018-08, Vol.144, p.897-908

2018

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Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems

Journal of parallel and distributed computing, 2023-10, Vol.180, p.104715, Article 104715

2023

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Uncertainty quantification of bladed disc systems using data driven stochastic reduced order models

International journal of mechanical sciences, 2021-01, Vol.190, p.106011, Article 106011

2021

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Modeling and simulating nonhomogeneous non-Gaussian corrosion fields on buried pipelines and its use in predicting burst capacities of corroded pipelines

Engineering structures, 2021-10, Vol.245, p.112957, Article 112957

2021

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Uncertainty quantification of TMS simulations considering MRI segmentation errors

Journal of neural engineering, 2022-04, Vol.19 (2), p.26022

2022

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Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation

Applied Mathematical Modelling, 2021-03, Vol.91, p.1117-1140

2021

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Simulating non-homogeneous non-Gaussian corrosion fields on pipelines based on inline inspection data

Structure and infrastructure engineering, 2023-09, p.1-15

2023

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Static condensation based reduced order modelling of stochastically parametered large ordered systems

Probabilistic engineering mechanics, 2021-10, Vol.66, p.103166, Article 103166

2021

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Ensemble-Based Assimilation of Nonlinearly Related Dynamic Data in Reservoir Models Exhibiting Non-Gaussian Characteristics

Mathematical geosciences, 2019-01, Vol.51 (1), p.75-107

2019

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Higher-order spectral representation method: New algorithmic framework for simulating multi-dimensional non-Gaussian random physical fields

Probabilistic engineering mechanics, 2024-04, Vol.76, p.103596, Article 103596

2024

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Computational stochastic homogenization of heterogeneous media from an elasticity random field having an uncertain spectral measure

Computational mechanics, 2021-11, Vol.68 (5), p.1003-1021

Soize, Christian

2021

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A MULTI-RESOLUTION MODEL FOR NON-GAUSSIAN RANDOM FIELDS ON A SPHERE WITH APPLICATION TO IONOSPHERIC ELECTROSTATIC POTENTIALS

The annals of applied statistics, 2018-03, Vol.12 (1), p.459-489

2018

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Factor copula models for data with spatio-temporal dependence

Spatial statistics, 2017-11, Vol.22, p.180-195

2017

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Stochastic model order reduction in uncertainty quantification of composite structures

Composite structures, 2015-09, Vol.128, p.21-34

2015

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Time domain stochastic finite element simulation towards probabilistic seismic soil-structure interaction analysis

Soil dynamics and earthquake engineering (1984), 2019-01, Vol.116, p.460-475

2019

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Enhancing industrial X-ray tomography by data-centric statistical methods

Data-Centric Engineering (Online), 2020-01, Vol.1, Article e10

2020

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Gaussian likelihood inference on data from trans‐Gaussian random fields with Matérn covariance function

Lévy-based Modelling in Brain Imaging

Theory and generation of conditional, scalable sub‐Gaussian random fields

Multivariate copula-based framework for stochastic analysis of landslide runout distance

Tukey g-and-h Random Fields

A framework for conditional simulation of nonstationary non-Gaussian random field and multivariate processes

A model to simulate multidimensional nonstationary and non-Gaussian fields based on S-transform

A novel general method for simulating a one dimensional random field based on the active learning Kriging model

Factor Copula Models for Replicated Spatial Data

A non-local probabilistic method for modeling of crack propagation

Tile low-rank approximations of non-Gaussian space and space-time Tukey g-and-h random field likelihoods and predictions on large-scale systems

Uncertainty quantification of bladed disc systems using data driven stochastic reduced order models

Modeling and simulating nonhomogeneous non-Gaussian corrosion fields on buried pipelines and its use in predicting burst capacities of corroded pipelines

Uncertainty quantification of TMS simulations considering MRI segmentation errors

Efficient high-dimensional material reliability analysis with explicit voxel-level stochastic microstructure representation

Simulating non-homogeneous non-Gaussian corrosion fields on pipelines based on inline inspection data

Static condensation based reduced order modelling of stochastically parametered large ordered systems

Ensemble-Based Assimilation of Nonlinearly Related Dynamic Data in Reservoir Models Exhibiting Non-Gaussian Characteristics

Higher-order spectral representation method: New algorithmic framework for simulating multi-dimensional non-Gaussian random physical fields

Computational stochastic homogenization of heterogeneous media from an elasticity random field having an uncertain spectral measure

A MULTI-RESOLUTION MODEL FOR NON-GAUSSIAN RANDOM FIELDS ON A SPHERE WITH APPLICATION TO IONOSPHERIC ELECTROSTATIC POTENTIALS

Factor copula models for data with spatio-temporal dependence

Stochastic model order reduction in uncertainty quantification of composite structures

Time domain stochastic finite element simulation towards probabilistic seismic soil-structure interaction analysis

Enhancing industrial X-ray tomography by data-centric statistical methods

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