Roger G. Ghanem

发表

Disciplinary Convergence in Systems Engineering Research

Barry Boehm, Azad M. Madni, Roger G. Ghanem, 2017 .

Basis adaptation in homogeneous chaos spaces

Roger G. Ghanem, Ramakrishna Tipireddy, R. Ghanem, 2014, J. Comput. Phys..

Special Issue on Uncertainty Quantification

Roger G. Ghanem, Steven F. Wojtkiewicz, 2004, SIAM J. Sci. Comput..

Ultrasound Monitoring of Tissue Ablation Via Deformation Model and Shape Priors

Russell H. Taylor, Gregory D. Hager, Gabor Fichtinger, 2006, MICCAI.

Identification of Bayesian posteriors for coefficients of chaos expansions

Roger G. Ghanem, Christian Soize, Maarten Arnst, 2010, J. Comput. Phys..

Polynomial chaos representation of spatio-temporal random fields from experimental measurements

Roger G. Ghanem, Sonjoy Das, Steven Finette, 2009, J. Comput. Phys..

Uncertainty quantification for engineering design

Roger G. Ghanem, Xiaoping Du, 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Uncertainty quantification for engineering design

Roger G. Ghanem, Xiaoping Du, 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods

Roger G. Ghanem, Bedřich Sousedík, Eric T. Phipps, 2012, Numer. Linear Algebra Appl..

Error Estimation in the Spatial Discretization of Multiscale Bridging Models

Roger G. Ghanem, Yu Zou, 2005, Multiscale Model. Simul..

Accelerating agent-based computation of complex urban systems

Roger G. Ghanem, Paul M. Torrens, Ioannis G. Kevrekidis, 2012, Int. J. Geogr. Inf. Sci..

Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound

Roger G. Ghanem, Panagiotis Tsilifis, Paris Hajali, 2015, SIAM/ASA J. Uncertain. Quantification.

Polynomial chaos representation of databases on manifolds

Roger G. Ghanem, Christian Soize, Christian Soize, 2017, J. Comput. Phys..

Numerical Challenges in the Use of Polynomial Chaos Representations for Stochastic Processes

Habib N. Najm, Roger G. Ghanem, Omar M. Knio, 2005, SIAM J. Sci. Comput..

Entropy-based closure for probabilistic learning on manifolds

Xun Huan, Cosmin Safta, Zachary P. Vane, 2018, J. Comput. Phys..

Probabilistic Approach to NASA Langley Research Center Multidisciplinary Uncertainty Quantification Challenge Problem

Roger G. Ghanem, Todd A. Oliver, Sami F. Masri, 2015, J. Aerosp. Inf. Syst..

On the construction and analysis of stochastic models: Characterization and propagation of the errors associated with limited data

Roger G. Ghanem, Alireza Doostan, R. Ghanem, 2006, J. Comput. Phys..

Data-driven probability concentration and sampling on manifold

Roger G. Ghanem, Christian Soize, Christian Soize, 2016, J. Comput. Phys..

Compressive sensing adaptation for polynomial chaos expansions

Xun Huan, Cosmin Safta, Khachik Sargsyan, 2018, J. Comput. Phys..

Simple Urban Simulation Atop Complicated Models: Multi-Scale Equation-Free Computing of Sprawl Using Geographic Automata

Roger G. Ghanem, Paul M. Torrens, Ioannis G. Kevrekidis, 2013, Entropy.

A Multiscale Data Assimilation with the Ensemble Kalman Filter

Roger G. Ghanem, Yu Zou, Y. Zou, 2005, Multiscale Model. Simul..

An equation-free, multiscale approach to uncertainty quantification

Roger G. Ghanem, Dongbin Xiu, Ioannis G. Kevrekidis, 2005, Computing in Science & Engineering.

Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure

Roger G. Ghanem, Christian Soize, Christian Soize, 2005, SIAM J. Sci. Comput..

A Bounded Random Matrix Approach for Stochastic Upscaling

Roger G. Ghanem, Sonjoy Das, R. Ghanem, 2009, Multiscale Model. Simul..

The Stochastic Quasi-chemical Model for Bacterial Growth: Variational Bayesian Parameter Update

Roger G. Ghanem, Panagiotis Tsilifis, Paul K. Newton, 2018, J. Nonlinear Sci..

Homogeneous chaos basis adaptation for design optimization under uncertainty: Application to the oil well placement problem

Roger G. Ghanem, Panagiotis Tsilifis, Charan Thimmisetty, 2017, Artificial Intelligence for Engineering Design, Analysis and Manufacturing.

An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2007, 2007 46th IEEE Conference on Decision and Control.

Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems

Habib N. Najm, Roger G. Ghanem, Omar M. Knio, 2007, SIAM J. Sci. Comput..

Domain Decompostion Of Stochastic PDEs and its Parallel

Roger G. Ghanem, Abhijit Sarkar, Nabil Benabbou, 2006, 20th International Symposium on High-Performance Computing in an Advanced Collaborative Environment (HPCS'06).

Multiscale Stochastic Representation in High-Dimensional Data Using Gaussian Processes with Implicit Diffusion Metrics

Roger G. Ghanem, Kelly Rose, Fred Aminzadeh, 2014, DyDESS.

Reduced Wiener Chaos representation of random fields via basis adaptation and projection

Roger G. Ghanem, Panagiotis Tsilifis, R. Ghanem, 2016, J. Comput. Phys..

Efficient Monte Carlo computation of Fisher information matrix using prior information

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2010, Comput. Stat. Data Anal..