Volume 2.
(as bibtex)
25 references.
Articles
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1-28. Evolving Bayesian emulators for structured chaotic time series, with application to large climate models
Williamson, Daniel,
Blaker, Adam T.
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106-125. When is a model good enough? Deriving the expected value of model improvement via specifying internal model discrepancies
Strong, Mark,
Oakley, Jeremy E.
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126-152. Automating Emulator Construction for Geophysical Hazard maps
Spiller, Elaine T.,
Bayarri, M. J.,
Berger, James O.,
Calder, Eliza S.,
Patra, Abani K.,
Pitman, E. Bruce,
Wolpert, Robert L.
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153-173. A Newton--Galerkin Method for Fluid Flow Exhibiting Uncertain Periodic Dynamics
Le Maitre, O. P.,
Schick, M.,
Heuveline, V.,
Le Maître, O. P.
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174-202. A Measure-Theoretic Computational Method for Inverse Sensitivity Problems III: Multiple Quantities of Interest
Butler, T.,
Estep, D.,
Tavener, S.,
Dawson, C.,
Westerink, J. J.
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203-222. An Analysis of Infinite Dimensional Bayesian Inverse Shape Acoustic Scattering and Its Numerical Approximation
Bui-Thanh, Tan,
Ghattas, Omar
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223-244. Perturbation Analysis for the Darcy Problem with Log-Normal Permeability
Bonizzoni, Francesca,
Nobile, Fabio
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245-251. Sobol' Indices and Shapley Value
Owen, Art B.
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252-275. Response Statistics for Random Heterogeneous Microstructures
Grigoriu, M.
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276-304. Gauss von Mises Distribution for Improved Uncertainty Realism in Space Situational Awareness
Horwood, Joshua T.,
Poore, Aubrey B.
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29-54. Cellular probabilistic automata -- A novel method for uncertainty propagation
Müller, Johannes,
Kohler, Dominic,
Wever, Utz
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305-335. Mixed Finite Elements for Spatial Regression with PDE Penalization
Azzimonti, Laura,
Nobile, Fabio,
Sangalli, Laura M.,
Secchi, Piercesare
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336-363. A Bayesian Approach for Global Sensitivity Analysis of (Multifidelity) Computer Codes
Le Gratiet, Loic,
Cannamela, Claire,
Iooss, Bertrand
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364-396. Weighted Reduced Basis Method for Stochastic Optimal Control Problems with Elliptic PDE Constraint
Chen, Peng,
Quarteroni, Alfio
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397-422. Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations
Mohan, J. Jagalur,
Sahni, O.,
Doostan, A.,
Oberai, A. A.
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423-443. Subsampled Gauss Quadrature Nodes for Estimating Polynomial Chaos Expansions
Tang, Gary,
Iaccarino, Gianluca
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444-463. Computational Aspects of Stochastic Collocation with Multifidelity Models
Zhu, Xueyu,
Narayan, Akil,
Xiu, Dongbin
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464-489. Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier--Stokes Equations
Kantas, Nikolas,
Beskos, Alexandros,
Jasra, Ajay
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490-510. Bayesian Adaptive Reconstruction of Profile Optima and Optimizers
Chevalier, Clement,
Perales, Frederic,
Ginsbourger, David,
Baccou, Jean,
Chevalier, Clément,
Perales, Frédéric,
Garland, Nicolas,
Monerie, Yann
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511-544. Analysis of the Gibbs Sampler for Hierarchical Inverse Problems
Agapiou, Sergios,
Bardsley, Johnathan M.,
Papaspiliopoulos, Omiros,
Stuart, Andrew M.
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545-563. Model Calibration via Deformation
Kleiber, William,
Sain, Stephan R.,
Wiltberger, Michael J.
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55-81. A multilevel stochastic collocation algorithm for optimization of PDEs with uncertain coefficients
Kouri, D. P.
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564-584. Massively Parallel Approximate Gaussian Process Regression
Gramacy, Robert B.,
Niemi, Jarad,
Weiss, Robin M.
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585-606. Predicting Dynamic Trends of the Atlantic Meridional Overturning Circulation for Transient and Stochastic Forcing Effects
Pampell, A.,
Aceves, A. B.,
Srinivasan, G.
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82-105. An efficient and accurate method for the identification of the most influential random parameters appearing in the input data for PDEs
Labovsky, A.,
Gunzburger, Max