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ORCIDSIAM/ASA Journal on Uncertainty Quantification, Volume 5
Volume 5, Number 1, 2017
- Peter Binev, Albert Cohen, Wolfgang Dahmen, Ronald A. DeVore, Guergana Petrova, Przemyslaw Wojtaszczyk:
Data Assimilation in Reduced Modeling. 1-29 - Panagiotis Tsilifis
, Roger G. Ghanem, Paris Hajali:
Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound. 30-62 - Wim van Ackooij, René Henrion:
(Sub-)Gradient Formulae for Probability Functions of Random Inequality Systems under Gaussian Distribution. 63-87 - Alexandre Iolov, Susanne Ditlevsen, André Longtin:
Optimal Design for Estimation in Diffusion Processes from First Hitting Times. 88-110 - Michael Griebel, Christian Rieger:
Reproducing Kernel Hilbert Spaces for Parametric Partial Differential Equations. 111-137 - Wanting Xu, Michael L. Stein:
Maximum Likelihood Estimation for a Smooth Gaussian Random Field Model. 138-175 - Christian Soize:
Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations. 176-211 - Ruimeng Hu, Mike Ludkovski:
Sequential Design for Ranking Response Surfaces. 212-239 - Timothy C. Wallstrom:
On the Application of McDiarmid's Inequality to Complex Systems. 240-245 - Hailiang Du, Leonard A. Smith:
Rising Above Chaotic Likelihoods. 246-258 - Dean S. Oliver:
Metropolized Randomized Maximum Likelihood for Improved Sampling from Multimodal Distributions. 259-277 - Rossana Vermiglio:
Polynomial Chaos Expansions for the Stability Analysis of Uncertain Delay Differential Equations. 278-303 - Marc Bocquet, Karthik S. Gurumoorthy, Amit Apte, Alberto Carrassi, Colin Grudzien, Christopher K. R. T. Jones:
Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace. 304-333 - Dishi Liu, Alexander Litvinenko, Claudia Schillings, Volker Schulz:
Quantification of Airfoil Geometry-Induced Aerodynamic Uncertainties - Comparison of Approaches. 334-352 - Fayadhoi Ibrahima, Hamdi A. Tchelepi:
Multipoint Distribution of Saturation for Stochastic Nonlinear Two-Phase Transport. 353-377 - M. Navarro Jimenez, Olivier P. Le Maître, Omar M. Knio:
Nonintrusive Polynomial Chaos Expansions for Sensitivity Analysis in Stochastic Differential Equations. 378-402 - Nicola E. Owen, Peter G. Challenor, Prathyush P. Menon, Samir Bennani:
Comparison of Surrogate-Based Uncertainty Quantification Methods for Computationally Expensive Simulators. 403-435 - Bamdad Hosseini, Nilima Nigam:
Well-Posed Bayesian Inverse Problems: Priors with Exponential Tails. 436-465 - Ahmad Ahmad Ali, Elisabeth Ullmann, Michael Hinze:
Multilevel Monte Carlo Analysis for Optimal Control of Elliptic PDEs with Random Coefficients. 466-492 - Robert Scheichl, Andrew M. Stuart, Aretha L. Teckentrup:
Quasi-Monte Carlo and Multilevel Monte Carlo Methods for Computing Posterior Expectations in Elliptic Inverse Problems. 493-518 - Chen Su, Xuemin Tu:
Sequential Implicit Sampling Methods for Bayesian Inverse Problems. 519-539 - Chu V. Mai, Bruno Sudret:
Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping. 540-571 - Shelby R. Stanhope, Jonathan E. Rubin, David Swigon:
Robustness of Solutions of the Inverse Problem for Linear Dynamical Systems with Uncertain Data. 572-597 - Hao Chen, Jason L. Loeppky, William J. Welch:
Flexible Correlation Structure for Accurate Prediction and Uncertainty Quantification in Bayesian Gaussian Process Emulation of a Computer Model. 598-620 - Qingping Zhou, Zixi Hu, Zhewei Yao, Jinglai Li:
A Hybrid Adaptive MCMC Algorithm in Function Spaces. 621-639 - Michael Sinsbeck, Wolfgang Nowak:
Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems. 640-664 - Margaret Callahan, Daniela Calvetti, Erkki Somersalo:
Beyond the Model Limit: Parameter Inference Across Scales. 665-693 - Ioannis Andrianakis, Nicky McCreesh, Ian R. Vernon, Trevelyan J. McKinley, Jeremy E. Oakley, Rebecca N. Nsubuga, Michael Goldstein, Richard G. White:
Efficient History Matching of a High Dimensional Individual-Based HIV Transmission Model. 694-719 - Assyr Abdulle, Grigorios A. Pavliotis, Urbain Vaes:
Spectral Methods for Multiscale Stochastic Differential Equations. 720-761 - Julien Bect, Ling Li, Emmanuel Vázquez:
Bayesian Subset Simulation. 762-786 - Xiaoyu Liu, Serge Guillas:
Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights. 787-812 - Peng Chen, Alfio Quarteroni, Gianluigi Rozza:
Reduced Basis Methods for Uncertainty Quantification. 813-869 - Ayçil Çesmelioglu, Meiqi Song, Dorin Drignei:
Physics-Based Kriging Surrogates for a Class of Finite Element Codes. 870-889 - Stefano Pagani, Andrea Manzoni, Alfio Quarteroni:
Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter. 890-921 - Mircea Grigoriu:
Estimates of System Response Maxima by Extreme Value Theory and Surrogate Models. 922-955 - Jonathan Hobbs, Amy Braverman, Noel Cressie, Robert Granat, Michael Gunson:
Simulation-Based Uncertainty Quantification for Estimating Atmospheric CO2 from Satellite Data. 956-985 - Art B. Owen, Clémentine Prieur:
On Shapley Value for Measuring Importance of Dependent Inputs. 986-1002 - Pranay Seshadri, Akil Narayan, Sankaran Mahadevan:
Effectively Subsampled Quadratures for Least Squares Polynomial Approximations. 1003-1023 - Bamdad Hosseini:
Well-Posed Bayesian Inverse Problems with Infinitely Divisible and Heavy-Tailed Prior Measures. 1024-1060 - Noura Fajraoui, Stefano Marelli, Bruno Sudret:
Sequential Design of Experiment for Sparse Polynomial Chaos Expansions. 1061-1085 - Malek Ben Salem, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso:
Universal Prediction Distribution for Surrogate Models. 1086-1109 - M. Park, Michael V. Tretyakov:
Stochastic Resin Transfer Molding Process. 1110-1135 - Yulong Lu, Andrew M. Stuart, Hendrik Weber:
Gaussian Approximations for Probability Measures on Rd. 1136-1165 - Alen Alexanderian, Noemi Petra, Georg Stadler, Omar Ghattas:
Mean-Variance Risk-Averse Optimal Control of Systems Governed by PDEs with Random Parameter Fields Using Quadratic Approximations. 1166-1192 - Qin Li, Li Wang:
Uniform Regularity for Linear Kinetic Equations with Random Input Based on Hypocoercivity. 1193-1219 - Andrew Papanicolaou, Konstantinos Spiliopoulos:
Dimension Reduction in Statistical Estimation of Partially Observed Multiscale Processes. 1220-1247 - Craig J. Newsum, Catherine E. Powell:
Efficient Reduced Basis Methods for Saddle Point Problems with Applications in Groundwater Flow. 1248-1278 - Ya-Ting Huang, James Glimm:
A Novel Methodology of Stochastic Short Term Forecasting of Cloud Boundaries. 1279-1294
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