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Publication search results
found 63 matches
- 2018
- Nan Chen, Andrew J. Majda, Xin T. Tong:
Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions. SIAM/ASA J. Uncertain. Quantification 6(3): 1198-1223 (2018) - Assyr Abdulle, Ibrahim Almuslimani, Gilles Vilmart:
Optimal Explicit Stabilized Integrator of Weak Order 1 for Stiff and Ergodic Stochastic Differential Equations. SIAM/ASA J. Uncertain. Quantification 6(2): 937-964 (2018) - Ben Adcock, Anyi Bao, John D. Jakeman, Akil Narayan:
Compressed Sensing with Sparse Corruptions: Fault-Tolerant Sparse Collocation Approximations. SIAM/ASA J. Uncertain. Quantification 6(4): 1424-1453 (2018) - Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola:
Tensor Algorithms for Advanced Sensitivity Metrics. SIAM/ASA J. Uncertain. Quantification 6(3): 1172-1197 (2018) - David A. Barajas-Solano, Alexandre M. Tartakovsky:
Probability and Cumulative Density Function Methods for the Stochastic Advection-Reaction Equation. SIAM/ASA J. Uncertain. Quantification 6(1): 180-212 (2018) - Andrea Barth, Andreas Stein:
A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients. SIAM/ASA J. Uncertain. Quantification 6(4): 1707-1743 (2018) - Peter Benner, Yue Qiu, Martin Stoll:
Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 6(2): 965-989 (2018) - Andrea L. Bertozzi, Xiyang Luo, Andrew M. Stuart, Konstantinos C. Zygalakis:
Uncertainty Quantification in Graph-Based Classification of High Dimensional Data. SIAM/ASA J. Uncertain. Quantification 6(2): 568-595 (2018) - Alexandros Beskos, Ajay Jasra, Kody J. H. Law, Youssef M. Marzouk, Yan Zhou:
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals. SIAM/ASA J. Uncertain. Quantification 6(2): 762-786 (2018) - Alex Bespalov, Leonardo Rocchi:
Efficient Adaptive Algorithms for Elliptic PDEs with Random Data. SIAM/ASA J. Uncertain. Quantification 6(1): 243-272 (2018) - Peter Binev, Albert Cohen, Olga Mula, James A. Nichols:
Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models. SIAM/ASA J. Uncertain. Quantification 6(3): 1101-1126 (2018) - Gilles Blanchard, Marc Hoffmann, Markus Reiß:
Optimal Adaptation for Early Stopping in Statistical Inverse Problems. SIAM/ASA J. Uncertain. Quantification 6(3): 1043-1075 (2018) - Emanuele Borgonovo, Max D. Morris, Elmar Plischke:
Functional ANOVA with Multiple Distributions: Implications for the Sensitivity Analysis of Computer Experiments. SIAM/ASA J. Uncertain. Quantification 6(1): 397-427 (2018) - Nicolas Bousquet, Thierry Klein, Vincent Moutoussamy:
Approximation of Limit State Surfaces in Monotonic Monte Carlo Settings, with Applications to Classification. SIAM/ASA J. Uncertain. Quantification 6(1): 1-33 (2018) - D. Andrew Brown, Arvind K. Saibaba, Sarah Vallélian:
Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification 6(3): 1076-1100 (2018) - Jehanzeb Hameed Chaudhry, Nathanial Burch, Donald J. Estep:
Efficient Distribution Estimation and Uncertainty Quantification for Elliptic Problems on Domains with Stochastic Boundaries. SIAM/ASA J. Uncertain. Quantification 6(3): 1127-1150 (2018) - Patrick R. Conrad, Andrew D. Davis, Youssef M. Marzouk, Natesh S. Pillai, Aaron Smith:
Parallel Local Approximation MCMC for Expensive Models. SIAM/ASA J. Uncertain. Quantification 6(1): 339-373 (2018) - Matteo Croci, Michael B. Giles, Marie E. Rognes, Patrick E. Farrell:
Efficient White Noise Sampling and Coupling for Multilevel Monte Carlo with Nonnested Meshes. SIAM/ASA J. Uncertain. Quantification 6(4): 1630-1655 (2018) - Marta D'Elia, H. Carter Edwards, Jonathan J. Hu, Eric T. Phipps, Sivasankaran Rajamanickam:
Ensemble Grouping Strategies for Embedded Stochastic Collocation Methods Applied to Anisotropic Diffusion Problems. SIAM/ASA J. Uncertain. Quantification 6(1): 87-117 (2018) - Guillaume Damblin, Pierre Barbillon, Merlin Keller, Alberto Pasanisi, Eric C. Parent:
Adaptive Numerical Designs for the Calibration of Computer Codes. SIAM/ASA J. Uncertain. Quantification 6(1): 151-179 (2018) - Ana Djurdjevac, Charles M. Elliott, Ralf Kornhuber, Thomas Ranner:
Evolving Surface Finite Element Methods for Random Advection-Diffusion Equations. SIAM/ASA J. Uncertain. Quantification 6(4): 1656-1684 (2018) - Joseph Durante, Raj Patel, Warren B. Powell:
Scenario Generation Methods that Replicate Crossing Times in Spatially Distributed Stochastic Systems. SIAM/ASA J. Uncertain. Quantification 6(2): 596-626 (2018) - Arindam Fadikar, Dave Higdon, Jiangzhuo Chen, Bryan L. Lewis, Srinivasan Venkatramanan, Madhav V. Marathe:
Calibrating a Stochastic, Agent-Based Model Using Quantile-Based Emulation. SIAM/ASA J. Uncertain. Quantification 6(4): 1685-1706 (2018) - Fabrice Gamboa, Thierry Klein, Agnès Lagnoux:
Sensitivity Analysis Based on Cramér-von Mises Distance. SIAM/ASA J. Uncertain. Quantification 6(2): 522-548 (2018) - Robert N. Gantner, M. D. Peters:
Higher-Order Quasi-Monte Carlo for Bayesian Shape Inversion. SIAM/ASA J. Uncertain. Quantification 6(2): 707-736 (2018) - Michael B. Giles, Francisco Bernal:
Multilevel Estimation of Expected Exit Times and Other Functionals of Stopped Diffusions. SIAM/ASA J. Uncertain. Quantification 6(4): 1454-1474 (2018) - Colin Grudzien, Alberto Carrassi, Marc Bocquet:
Asymptotic Forecast Uncertainty and the Unstable Subspace in the Presence of Additive Model Error. SIAM/ASA J. Uncertain. Quantification 6(4): 1335-1363 (2018) - Mengyang Gu, Long Wang:
Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction. SIAM/ASA J. Uncertain. Quantification 6(4): 1555-1583 (2018) - Benjamin Haaland, Wenjia Wang, Vaibhav Maheshwari:
A Framework for Controlling Sources of Inaccuracy in Gaussian Process Emulation of Deterministic Computer Experiments. SIAM/ASA J. Uncertain. Quantification 6(2): 497-521 (2018) - Eric Joseph Hall, Markos A. Katsoulakis:
Robust Information Divergences for Model-Form Uncertainty Arising from Sparse Data in Random PDE. SIAM/ASA J. Uncertain. Quantification 6(4): 1364-1394 (2018)
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