| Data partition methodology for validation of predictive models RE Morrison, CM Bryant, G Terejanu, S Prudhomme, K Miki Computers & Mathematics with Applications 66 (10), 2114-2125, 2013 | 34 | 2013 |
| Error decomposition and adaptivity for response surface approximations from PDEs with parametric uncertainty CM Bryant, S Prudhomme, T Wildey SIAM/ASA Journal on Uncertainty Quantification 3 (1), 1020-1045, 2015 | 31 | 2015 |
| Adaptive surrogate modeling for response surface approximations with application to bayesian inference S Prudhomme, CM Bryant Advanced Modeling and Simulation in Engineering Sciences 2, 1-21, 2015 | 16 | 2015 |
| An information-theoretic approach to optimally calibrate approximate models C Bryant, G Terejanu 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and …, 2012 | 13 | 2012 |
| A posteriori error control for partial differential equations with random data CM Bryant, S Prudhomme, T Wildey | 7 | 2013 |
| Optimal data split methodology for model validation R Morrison, C Bryant, G Terejanu, K Miki, S Prudhomme arXiv preprint arXiv:1108.6043, 2011 | 7 | 2011 |
| A posteriori error control for partial differential equations with random data. ICES REPORT 13-08 CM Bryant, S Prudhomme, T Wildey The Institute for Computational Engineering and Sciences, The University of …, 2013 | 5 | 2013 |
| Bayesian optimal experimental design for the shock-tube experiment G Terejanu, CM Bryant, K Miki Journal of Physics: Conference Series 410 (1), 012040, 2013 | 4 | 2013 |
| On goal-oriented error estimation and adaptivity for nonlinear systems with uncertain data and application to flow problems CM Bryant | 2 | 2014 |
| Adaptive response surface approximation method for bayesian inference S Prudhomme, CM Bryant CIMNE, 2015 | | 2015 |
| A Posteriori Error Estimates to Enable Effective Dimension Reduction in Stochastic Systems. TM Wildey, JD Jakeman, C Bryant, S Prudhomme Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2014 | | 2014 |
| Error decomposition and adaptivity for response surface approximations from PDEs with parametric uncertainty. TM Wildey, C Bryant, S Prudhomme SIAM/ASA Journal on Uncertainty Quantification, 2014 | | 2014 |
| A Posteriori Error Analysis and Adaptive Construction of Surrogate Models. JD Jakeman, T Butler, PG Constantine, C Dawson, C Bryant, ... Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2013 | | 2013 |
| A POSTERIORI ERROR CONTROL FOR PARTIAL DIFFERENTIAL EQUATIONS WITH RANDOM DATA. TM Wildey, C Bryant, S Prudhomme Proposed for publication in SIAM Journal on Uncertainty Quantification., 2013 | | 2013 |
| Error Control for Output Quantities of Interest in Parameterized Partial Differential Equations. TM Wildey, C Bryant, S Prudhomme Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2013 | | 2013 |
| Error Control for Output QoIs Under Uncertainty. TM Wildey, C Bryant, S Prudhomme Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA …, 2012 | | 2012 |
| Error Decomposition and Adaptive Refinement for Stochastic Differential Equations. C Bryant, TM Wildey, S Prudhomme Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2012 | | 2012 |
| Adaptive Response Surface Approximation Method for Bayesian Inference-ADMOS 2015 S Prudhomme, CM Bryant Adaptive Modeling and Simulation 2015, 90, 0 | | |
