Search results for "quantification"

Hits ?▲	Authors	Title	Venue	Year	Link
17	Yao Li, Yaping Yuan	Sensitivity Analysis of Quasi-Stationary Distributions (QSDs) of Mass-Action Systems.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Tim Jahn	Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Christophette Blanchet-Scalliet, Bruno Demory, Thierry Gonon, Céline Helbert	Gaussian Process Regression on Nested Spaces.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Prerna Patil, Hessam Babaee	Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Claudia Schillings, Claudia Totzeck, Philipp Wacker	Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Jasper M. Everink, Yiqiu Dong, Martin S. Andersen 0001	Bayesian Inference with Projected Densities.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Vladimir G. Spokoiny	Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart	Convergence Rates for Learning Linear Operators from Noisy Data.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Seif Ben Bader, Helmut Harbrecht, Rolf Krause, Michael D. Multerer, Alessio Quaglino, Marc Schmidlin	Space-time Multilevel Quadrature Methods and their Application for Cardiac Electrophysiology.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Alexey Chernov, Erik Marc Schetzke	A Simple, Bias-free Approximation of Covariance Functions by the Multilevel Monte Carlo Method Having Nearly Optimal Complexity.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Baptiste Kerleguer	Multifidelity Surrogate Modeling for Time-Series Outputs.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Elliot Cartee, Antonio Farah, April Nellis, Jacob Van Hook, Alexander Vladimirsky	Quantifying and Managing Uncertainty in Piecewise-Deterministic Markov Processes.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Terrence Alsup, Benjamin Peherstorfer	Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Adrian N. Bishop, Pierre Del Moral	Robust Kalman and Bayesian Set-Valued Filtering and Model Validation for Linear Stochastic Systems.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Elaine T. Spiller, Robert L. Wolpert, Pablo Tierz, Taylor G. Asher	The Zero Problem: Gaussian Process Emulators for Range-Constrained Computer Models.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Max Ehre, Rafael Flock, Martin Fußeder, Iason Papaioannou, Daniel Straub	Certified Dimension Reduction for Bayesian Updating with the Cross-Entropy Method.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Shurui Lv, Jun Yu, Yan Wang, Jiang Du	Fast Calibration for Computer Models with Massive Physical Observations.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Fedor Goncharov, Eric Barat, Thomas Dautremer	Nonparametric Posterior Learning for Emission Tomography.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Shanyin Tong, Georg Stadler	Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Remo Kretschmann	Are Minimizers of the Onsager-Machlup Functional Strong Posterior Modes?	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Hefin Lambley, Timothy John Sullivan	An Order-Theoretic Perspective on Modes and Maximum A Posteriori Estimation in Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Toni Karvonen	Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Yanni Papandreou, Jon Cockayne, Mark Girolami, Andrew B. Duncan	Theoretical Guarantees for the Statistical Finite Element Method.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Christophe Audouze, Aaron Klein, Adrian Butscher, Nigel J. W. Morris, Prasanth Nair, Masayuki Yano	Robust Level-Set-Based Topology Optimization Under Uncertainties Using Anchored ANOVA Petrov-Galerkin Method.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Suraj Yerramilli, Akshay Iyer, Wei Chen 0041, Daniel W. Apley	Fully Bayesian Inference for Latent Variable Gaussian Process Models.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Jan Glaubitz, Anne Gelb, Guohui Song	Generalized Sparse Bayesian Learning and Application to Image Reconstruction.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Johannes Milz	Reliable Error Estimates for Optimal Control of Linear Elliptic PDEs with Random Inputs.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Wouter Edeling	On the Deep Active-Subspace Method.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Mikkel Bue Lykkegaard, Tim J. Dodwell, Colin Fox, G. Mingas, Robert Scheichl	Multilevel Delayed Acceptance MCMC.	SIAM/ASA J. Uncertain. Quantification	2023	DBLP DOI BibTeX RDF
17	Yuchen He 0001, Namjoon Suh, Xiaoming Huo, Sung Ha Kang, Yajun Mei	Asymptotic Theory of \(\boldsymbol \ell _1\) -Regularized PDE Identification from a Single Noisy Trajectory.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Michael B. Giles, Oliver Sheridan-Methven	Analysis of Nested Multilevel Monte Carlo Using Approximate Normal Random Variables.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Jialei Chen, Zhehui Chen, Chuck Zhang, C. F. Jeff Wu	APIK: Active Physics-Informed Kriging Model with Partial Differential Equations.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Amy L. Wilson, Michael Goldstein, Chris J. Dent	Varying Coefficient Models and Design Choice for Bayes Linear Emulation of Complex Computer Models with Limited Model Evaluations.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	John Barr, Herschel Rabitz	A Generalized Kernel Method for Global Sensitivity Analysis.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Hà Quang Minh	Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Alexander M. G. Cox, Simon C. Harris, Andreas E. Kyprianou, Minmin Wang	Monte Carlo Methods for the Neutron Transport Equation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Wenjia Wang, Xiaowei Yue, Benjamin Haaland, C. F. Jeff Wu	Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Tobias Jahnke, Benny Stein	A Multilevel Stochastic Collocation Method for Schrödinger Equations with a Random Potential.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Zilong Zou, Drew P. Kouri, Wilkins Aquino	A Locally Adapted Reduced-Basis Method for Solving Risk-Averse PDE-Constrained Optimization Problems.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Oliver G. Ernst, Alois Pichler, Björn Sprungk	Wasserstein Sensitivity of Risk and Uncertainty Propagation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Thierry Klein, Nicolas Peteilh, Paul Rochet	Test Comparison for Sobol Indices over Nested Sets of Variables.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Albert Cohen 0002, Wolfgang Dahmen, Olga Mula, James A. Nichols	Nonlinear Reduced Models for State and Parameter Estimation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Matthias Katzfuss, Joseph Guinness, Earl Lawrence	Scaled Vecchia Approximation for Fast Computer-Model Emulation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Baptiste Broto, François Bachoc, Laura Clouvel, Jean-Marc Martinez	Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Trung Pham, Alex A. Gorodetsky	Ensemble Approximate Control Variate Estimators: Applications to MultiFidelity Importance Sampling.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Yifei Wang, Peng Chen, Wuchen Li	Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Kevin Elie-Dit-Cosaque, Véronique Maume-Deschamps	Goal-Oriented Shapley Effects with Special Attention to the Quantile-Oriented Case.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Panagiota Birmpa, Jinchao Feng, Markos A. Katsoulakis, Luc Rey-Bellet	Model Uncertainty and Correctability for Directed Graphical Models.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Randolf Altmeyer, Till Bretschneider, Josef Janák, Markus Reiß	Parameter Estimation in an SPDE Model for Cell Repolarization.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Louis Sharrock, Nikolas Kantas	Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Daniel Sanz-Alonso, Ruiyi Yang	Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Michael Lindsey, Jonathan Weare, Anna Zhang	Ensemble Markov Chain Monte Carlo with Teleporting Walkers.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Teresa Portone, Robert D. Moser	Bayesian Inference of an Uncertain Generalized Diffusion Operator.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	El Houcine Bergou, Youssef Diouane, Vyacheslav Kungurtsev, Clément W. Royer	A Stochastic Levenberg-Marquardt Method Using Random Models with Complexity Results.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Hossein Mohammadi, Peter G. Challenor, Daniel B. Williamson, Marc Goodfellow	Cross-Validation-based Adaptive Sampling for Gaussian Process Models.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Fabian Wagner, Iason Papaioannou, Elisabeth Ullmann	The Ensemble Kalman Filter for Rare Event Estimation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Shiv Agrawal, Hwanwoo Kim, Daniel Sanz-Alonso, Alexander Strang	A Variational Inference Approach to Inverse Problems with Gamma Hyperpriors.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Moyan Li, Raed Kontar	On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Florian Bourgey, Emmanuel Gobet, Clément Rey	A Comparative Study of Polynomial-Type Chaos Expansions for Indicator Functions.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Peijun Li, Xu Wang	An Inverse Random Source Problem for the Biharmonic Wave Equation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Robert Sawko, Malgorzata J. Zimon	Effective Generation of Compressed Stationary Gaussian Fields.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	James M. Salter, Daniel B. Williamson, Lauren J. Gregoire, Tamsin L. Edwards	Quantifying Spatio-Temporal Boundary Condition Uncertainty for the North American Deglaciation.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Jiahui Zhang, Anne Gelb, Theresa Scarnati	Empirical Bayesian Inference Using a Support Informed Prior.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Felipe Uribe, Johnathan M. Bardsley, Yiqiu Dong, Per Christian Hansen, Nicolai André Brogaard Riis	A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Ömer Deniz Akyildiz, Connor Duffin, Sotirios Sabanis, Mark Girolami	Statistical Finite Elements via Langevin Dynamics.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Bedrich Sousedík, Kookjin Lee	Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Paul B. Rohrbach, Sergey Dolgov, Lars Grasedyck, Robert Scheichl	Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Chih-Li Sung, Beau David Barber, Berkley J. Walker	Calibration of Inexact Computer Models with Heteroscedastic Errors.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Charles-Edouard Bréhier, David Cohen	Strong Rates of Convergence of a Splitting Scheme for Schrödinger Equations with Nonlocal Interaction Cubic Nonlinearity and White Noise Dispersion.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Devin Francom, Bruno Sansó, Ana Kupresanin	Landmark-Warped Emulators for Models with Misaligned Functional Response.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Hassan Arbabi, Themistoklis P. Sapsis	Generative Stochastic Modeling of Strongly Nonlinear Flows with Non-Gaussian Statistics.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Saumya Bhatnagar, Won Chang, Seonjin Kim, Jiali Wang	Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Drew P. Kouri, Thomas M. Surowiec	Corrigendum: "Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization".	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Rachel H. Oughton, Michael Goldstein, John C. P. Hemmings	Intermediate Variable Emulation: Using Internal Processes in Simulators to Build More Informative Emulators.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Paul Hagemann, Johannes Hertrich, Gabriele Steidl	Stochastic Normalizing Flows for Inverse Problems: A Markov Chains Viewpoint.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Hamza M. Ruzayqat, Aimad Er-Raiy, Alexandros Beskos, Dan Crisan, Ajay Jasra, Nikolas Kantas	A Lagged Particle Filter for Stable Filtering of Certain High-Dimensional State-Space Models.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Yan Wang	Penalized Projected Kernel Calibration for Computer Models.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Neil K. Chada, Ajay Jasra, Fangyuan Yu	Multilevel Ensemble Kalman-Bucy Filters.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Shay Gilpin, Tomoko Matsuo, Stephen E. Cohn	Continuum Covariance Propagation for Understanding Variance Loss in Advective Systems.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Mengyang Gu, Fangzheng Xie, Long Wang	A Theoretical Framework of the Scaled Gaussian Stochastic Process in Prediction and Calibration.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Drew P. Kouri, John D. Jakeman, J. Gabriel Huerta	Risk-Adapted Optimal Experimental Design.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Kody J. H. Law, Vitaly Zankin	Sparse Online Variational Bayesian Regression.	SIAM/ASA J. Uncertain. Quantification	2022	DBLP DOI BibTeX RDF
17	Bangti Jin, Zehui Zhou, Jun Zou 0003	On the Saturation Phenomenon of Stochastic Gradient Descent for Linear Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Alen Alexanderian, Noemi Petra, Georg Stadler, Isaac Sunseri	Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Neil K. Chada, Jordan Franks, Ajay Jasra, Kody J. H. Law, Matti Vihola	Unbiased Inference for Discretely Observed Hidden Markov Model Diffusions.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Michael Sinsbeck, Emily Cooke, Wolfgang Nowak	Sequential Design of Computer Experiments for the Computation of Bayesian Model Evidence.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Thomas P. Prescott, Ruth E. Baker	Multifidelity Approximate Bayesian Computation with Sequential Monte Carlo Parameter Sampling.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Johnathan M. Bardsley, Tiangang Cui	Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Baasansuren Jadamba, Akhtar A. Khan, Miguel Sama, Hans-Jörg Starkloff, Christiane Tammer	A Convex Optimization Framework for the Inverse Problem of Identifying a Random Parameter in a Stochastic Partial Differential Equation.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Nora Lüthen, Stefano Marelli, Bruno Sudret	Sparse Polynomial Chaos Expansions: Literature Survey and Benchmark.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Christopher C. Drovandi, David J. Nott, Daniel Edward Pagendam	A Semiautomatic Method for History Matching Using Sequential Monte Carlo.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	María Magdalena Lucini, Peter Jan van Leeuwen, Manuel Pulido	Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Gildas Mazo	A Trade-Off Between Explorations and Repetitions for Estimators of Two Global Sensitivity Indices in Stochastic Models Induced by Probability Measures.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Qian Xiao, Abhyuday Mandal, C. Devon Lin, Xinwei Deng	EzGP: Easy-to-Interpret Gaussian Process Models for Computer Experiments with Both Quantitative and Qualitative Factors.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Deanna Easley, Tyrus Berry	A Higher Order Unscented Transform.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Shuai Lu, Pingping Niu, Frank Werner 0002	On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Philipp A. Guth, Vesa Kaarnioja, Frances Y. Kuo, Claudia Schillings, Ian H. Sloan	A Quasi-Monte Carlo Method for Optimal Control Under Uncertainty.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez	Gaussian Linear Approximation for the Estimation of the Shapley Effects.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Mahadevan Ganesh, Frances Y. Kuo, Ian H. Sloan	Quasi-Monte Carlo Finite Element Analysis for Wave Propagation in Heterogeneous Random Media.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF
17	Amal Ben Abdellah, Pierre L'Ecuyer, Art B. Owen, Florian Puchhammer	Density Estimation by Randomized Quasi-Monte Carlo.	SIAM/ASA J. Uncertain. Quantification	2021	DBLP DOI BibTeX RDF