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ORCIDSIAM/ASA Journal on Uncertainty Quantification, Volume 3
Volume 3, Number 1, 2015
- Evan Kwiatkowski, Jan Mandel
:
Convergence of the Square Root Ensemble Kalman Filter in the Large Ensemble Limit. 1-17 - Rami Atar, Kenny Chowdhary, Paul Dupuis:
Robust Bounds on Risk-Sensitive Functionals via Rényi Divergence. 18-33 - Christian Soize:
Polynomial Chaos Expansion of a Multimodal Random Vector. 34-60 - Farbod Roosta-Khorasani, Gábor J. Székely, Uri M. Ascher:
Assessing Stochastic Algorithms for Large Scale Nonlinear Least Squares Problems Using Extremal Probabilities of Linear Combinations of Gamma Random Variables. 61-90 - Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee:
Minimum Distance Estimation of Milky Way Model Parameters and Related Inference. 91-115 - Martin Drohmann, Kevin Carlberg:
The ROMES Method for Statistical Modeling of Reduced-Order-Model Error. 116-145 - Matthias Hwai Yong Tan:
Sequential Bayesian Polynomial Chaos Model Selection for Estimation of Sensitivity Indices. 146-168 - Todd Arbogast, Donald J. Estep, Brendan Sheehan, Simon Tavener:
A Posteriori Error Estimates for Mixed Finite Element and Finite Volume Methods for Parabolic Problems Coupled through a Boundary. 169-198 - Jaideep Ray, Zhangshuan Hou, Maoyi Huang, Khachik Sargsyan, Laura P. Swiler:
Bayesian Calibration of the Community Land Model Using Surrogates. 199-233 - Giles Hooker, Kevin K. Lin, Bruce Rogers:
Control Theory and Experimental Design in Diffusion Processes. 234-264 - K. D. Jarman Jr., Alexandre M. Tartakovsky:
Erratum: A Comparison of Closures for Stochastic Advection-Diffusion Equations. 265-266 - Michael B. Giles, Tigran Nagapetyan, Klaus Ritter:
Multilevel Monte Carlo Approximation of Distribution Functions and Densities. 267-295 - Hans-Werner van Wyk, Max D. Gunzburger, John Burkhardt, Miroslav Stoyanov:
Power-Law Noises over General Spatial Domains and on Nonstandard Meshes. 296-319 - Si Chen, Kristofer-Roy G. Reyes, Maneesh K. Gupta, Michael C. McAlpine, Warren B. Powell:
Optimal Learning in Experimental Design Using the Knowledge Gradient Policy with Application to Characterizing Nanoemulsion Stability. 320-345 - Liessman Sturlaugson, John W. Sheppard:
Sensitivity Analysis of Continuous Time Bayesian Network Reliability Models. 346-369 - Shirin Golchi, Derek R. Bingham, Hugh A. Chipman, David A. Campbell:
Monotone Emulation of Computer Experiments. 370-392 - Daniel Kressner, Rajesh Kumar, Fabio Nobile, Christine Tobler:
Low-Rank Tensor Approximation for High-Order Correlation Functions of Gaussian Random Fields. 393-416 - H. T. Banks, Jared Catenacci, Shuhua Hu:
Asymptotic Properties of Probability Measure Estimators in a Nonparametric Model. 417-433 - Jehanzeb Hameed Chaudhry, Donald J. Estep, Victor Ginting, Simon Tavener:
A Posteriori Analysis for Iterative Solvers for Nonautonomous Evolution Problems. 434-459 - Denis Belomestny, Marcel Ladkau, John Schoenmakers:
Multilevel Simulation Based Policy Iteration for Optimal Stopping-Convergence and Complexity. 460-483 - Tyrus Berry, John Harlim:
Nonparametric Uncertainty Quantification for Stochastic Gradient Flows. 484-508 - Elisabeth Ullmann, Catherine E. Powell:
Solving Log-Transformed Random Diffusion Problems by Stochastic Galerkin Mixed Finite Element Methods. 509-534 - Sebastian J. Vollmer:
Dimension-Independent MCMC Sampling for Inverse Problems with Non-Gaussian Priors. 535-561 - Asif Mahmood, Robert L. Wolpert, E. Bruce Pitman:
A Physics-Based Emulator for the Simulation of Geophysical Mass Flows. 562-585 - Philip B. Stark:
Constraints versus Priors. 586-598 - Brian Staber, Johann Guilleminot:
Approximate Solutions of Lagrange Multipliers for Information-Theoretic Random Field Models. 599-621 - Peter Benner, Akwum Onwunta, Martin Stoll:
Low-Rank Solution of Unsteady Diffusion Equations with Stochastic Coefficients. 622-649 - Julia Charrier:
Numerical Analysis of the Advection-Diffusion of a Solute in Porous Media with Uncertainty. 650-685 - Jeffrey C. Regier, Philip B. Stark:
Mini-Minimax Uncertainty Quantification for Emulators. 686-708 - Mustafa A. Mohamad, Themistoklis P. Sapsis:
Probabilistic Description of Extreme Events in Intermittently Unstable Dynamical Systems Excited by Correlated Stochastic Processes. 709-736 - Vishwas Rao, Adrian Sandu:
A Posteriori Error Estimates for the Solution of Variational Inverse Problems. 737-761 - Christian Kuehn:
Numerical Continuation and SPDE Stability for the 2D Cubic-Quintic Allen-Cahn Equation. 762-789 - Xiaobing Feng, Junshan Lin, Cody Lorton:
An Efficient Numerical Method for Acoustic Wave Scattering in Random Media. 790-822 - Oliver G. Ernst, Björn Sprungk, Hans-Jörg Starkloff:
Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems. 823-851 - Jonas Ballani, Lars Grasedyck:
Hierarchical Tensor Approximation of Output Quantities of Parameter-Dependent PDEs. 852-872 - Peng Wang, David A. Barajas-Solano, Emil M. Constantinescu, Shrirang Abhyankar, Debojyoti Ghosh, Barry F. Smith, Zhenyu Huang, Alexandre M. Tartakovsky:
Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input. 873-896 - Mathilde Chevreuil, Régis Lebrun, Anthony Nouy, Prashant Rai:
A Least-Squares Method for Sparse Low Rank Approximation of Multivariate Functions. 897-921 - Elisabeth Ullmann, Iason Papaioannou:
Multilevel Estimation of Rare Events. 922-953 - Michael Sinsbeck, Daniel M. Tartakovsky:
Impact of Data Assimilation on Cost-Accuracy Tradeoff in Multifidelity Models. 954-968 - Pierre Del Moral, Lawrence M. Murray:
Sequential Monte Carlo with Highly Informative Observations. 969-997 - Nuutti Hyvönen, Matti Leinonen:
Stochastic Galerkin Finite Element Method with Local Conductivity Basis for Electrical Impedance Tomography. 998-1019 - Corey M. Bryant, Serge Prudhomme, Tim Wildey:
Error Decomposition and Adaptivity for Response Surface Approximations from PDEs with Parametric Uncertainty. 1020-1045 - Aretha L. Teckentrup, Peter Jantsch, Clayton G. Webster, Max D. Gunzburger:
A Multilevel Stochastic Collocation Method for Partial Differential Equations with Random Input Data. 1046-1074 - Tim J. Dodwell, Christian Ketelsen, Robert Scheichl, Aretha L. Teckentrup:
A Hierarchical Multilevel Markov Chain Monte Carlo Algorithm with Applications to Uncertainty Quantification in Subsurface Flow. 1075-1108 - Sergey Dolgov, Boris N. Khoromskij, Alexander Litvinenko, Hermann G. Matthies:
Polynomial Chaos Expansion of Random Coefficients and the Solution of Stochastic Partial Differential Equations in the Tensor Train Format. 1109-1135 - Johnathan M. Bardsley, Aku Seppänen, Antti Solonen, Heikki Haario, Jari P. Kaipio:
Randomize-Then-Optimize for Sampling and Uncertainty Quantification in Electrical Impedance Tomography. 1136-1158 - Mihály Kovács, Felix Lindner, René L. Schilling:
Weak Convergence of Finite Element Approximations of Linear Stochastic Evolution Equations with Additive Lévy Noise. 1159-1199 - Daniel Sanz-Alonso, Andrew M. Stuart:
Long-Time Asymptotics of the Filtering Distribution for Partially Observed Chaotic Dynamical Systems. 1200-1220
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