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

, , and . J. Comput. Physics, 228 (23): 8726-8751 (2009)

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Domain Decompostion Of Stochastic PDEs and its Parallel., , and . HPCS, page 17. IEEE Computer Society, (2006)Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach., , and . SIAM J. Scientific Computing, 30 (5): 2207-2234 (2008)A Bounded Random Matrix Approach for Stochastic Upscaling., and . Multiscale Modeling & Simulation, 8 (1): 296-325 (2009)A Multiscale Data Assimilation with the Ensemble Kalman Filter., and . Multiscale Modeling & Simulation, 3 (1): 131-150 (2005)Hybrid Sampling/Spectral Method for Solving Stochastic Coupled Problems., , and . SIAM/ASA J. Uncertain. Quantification, 1 (1): 218-243 (2013)Identification of Bayesian posteriors for coefficients of chaos expansions., , and . J. Comput. Physics, 229 (9): 3134-3154 (2010)Multi-Resolution-Analysis Scheme for Uncertainty Quantification in Chemical Systems., , , , and . SIAM J. Scientific Computing, 29 (2): 864-889 (2007)Hierarchical Schur complement preconditioner for the stochastic Galerkin finite element methods : Dedicated to Professor Ivo Marek on the occasion of his 80th birthday., , and . Numerical Lin. Alg. with Applic., 21 (1): 136-151 (2014)Data-based Discovery of Governing Equations., , , , , and . AAAI Spring Symposium: MLPS, volume 2964 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Polynomial chaos representation of spatio-temporal random fields from experimental measurements., , and . J. Comput. Physics, 228 (23): 8726-8751 (2009)