Christian Soize

Orcid: 0000-0002-1083-6771

According to our database1, Christian Soize authored at least 38 papers between 1994 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of Helium on graphite substrate.
J. Comput. Phys., January, 2024

2023
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures.
Comput. Stat., December, 2023

2022
Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints.
CoRR, 2022

2021
Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings.
CoRR, 2021

A stochastic model of voice generation and the corresponding solution for the inverse problem using Artificial Neural Network for case with pathology in the vocal folds.
Biomed. Signal Process. Control., 2021

2020
Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset.
Stat. Comput., 2020

Compressed Principal Component Analysis of Non-Gaussian Vectors.
SIAM/ASA J. Uncertain. Quantification, 2020

Adaptive method for indirect identification of the statistical properties of random fields in a Bayesian framework.
Comput. Stat., 2020

Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets.
CoRR, 2020

2019
Entropy-based closure for probabilistic learning on manifolds.
J. Comput. Phys., 2019

Design optimization of a scramjet under uncertainty using probabilistic learning on manifolds.
J. Comput. Phys., 2019

Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset.
CoRR, 2019

Experimental evaluation and model of a nonlinear absorber for vibration attenuation.
Commun. Nonlinear Sci. Numer. Simul., 2019

2018
Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints.
Comput. Stat. Data Anal., 2018

2017
Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations.
SIAM/ASA J. Uncertain. Quantification, 2017

Polynomial chaos representation of databases on manifolds.
J. Comput. Phys., 2017

Nested polynomial trends for the improvement of Gaussian process-based predictors.
J. Comput. Phys., 2017

2016
Data-driven probability concentration and sampling on manifold.
J. Comput. Phys., 2016

Jitter generation in voice signals produced by a two-mass stochastic mechanical model.
Biomed. Signal Process. Control., 2016

2015
Polynomial Chaos Expansion of a Multimodal Random Vector.
SIAM/ASA J. Uncertain. Quantification, 2015

Robust design optimization with an uncertain model of a nonlinear vibro-impact electro-mechanical system.
Commun. Nonlinear Sci. Numer. Simul., 2015

2014
Itô SDE-based Generator for a Class of Non-Gaussian Vector-valued Random Fields in Uncertainty Quantification.
SIAM J. Sci. Comput., 2014

A Posteriori Error and Optimal Reduced Basis for Stochastic Processes Defined by a Finite Set of Realizations.
SIAM/ASA J. Uncertain. Quantification, 2014

Introduction.
Comput. Aided Civ. Infrastructure Eng., 2014

2013
Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media.
Multiscale Model. Simul., 2013

Calculation of Lagrange Multipliers in the Construction of Maximum Entropy Distributions in High Stochastic Dimension.
SIAM/ASA J. Uncertain. Quantification, 2013

Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems.
SIAM/ASA J. Uncertain. Quantification, 2013

Karhunen-Loève expansion revisited for vector-valued random fields: Scaling, errors and optimal basis.
J. Comput. Phys., 2013

Computational Nonlinear Thermomechanical Model of Large Light Partition Walls Based on Experimental Analysis and Probabilistic Models.
Comput. Aided Civ. Infrastructure Eng., 2013

Ultrasound Wave Propagation in a Stochastic Cortical Bone Plate.
Proceedings of the Knowledge and Systems Engineering, 2013

2012
Identification of Polynomial Chaos Representations in High Dimension from a Set of Realizations.
SIAM J. Sci. Comput., 2012

Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation.
Comput. Math. Appl., 2012

Special Issue on Computational Intelligence in Structural Engineering and Mechanics.
Comput. Aided Civ. Infrastructure Eng., 2012

2010
Computational Aspects for Constructing Realizations of Polynomial Chaos in High Dimension.
SIAM J. Sci. Comput., 2010

Identification of Bayesian posteriors for coefficients of chaos expansions.
J. Comput. Phys., 2010

Information Theory for Generation of Accelerograms Associated with Shock Response Spectra.
Comput. Aided Civ. Infrastructure Eng., 2010

2004
Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure.
SIAM J. Sci. Comput., 2004

1994
The Fokker-Planck Equation for Stochastic Dynamical Systems and Its Explicit Steady State Solutions
Series on Advances in Mathematics for Applied Sciences 17, World Scientific, ISBN: 978-981-4502-02-3, 1994


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