Search results for "quantification"

Hits ?▲	Authors	Title	Venue	Year	Link
17	Dave Osthus, Scott A. Vander Wiel, Nelson M. Hoffman, Frederick J. Wysocki	Prediction Uncertainties beyond the Range of Experience: A Case Study in Inertial Confinement Fusion Implosion Experiments.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Nathalie Ayi, Erwan Faou	Analysis of an Asymptotic Preserving Scheme for Stochastic Linear Kinetic Equations in the Diffusion Limit.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	David Aristoff	Generalizing Parallel Replica Dynamics: Trajectory Fragments, Asynchronous Computing, and PDMPs.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Daniel J. Perry, Robert M. Kirby, Akil Narayan 0001, Ross T. Whitaker	Allocation Strategies for High Fidelity Models in the Multifidelity Regime.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Ru Zhang, C. Devon Lin, Pritam Ranjan	A Sequential Design Approach for Calibrating Dynamic Computer Simulators.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	David Swigon, Shelby R. Stanhope, Sven Zenker, Jonathan E. Rubin	On the Importance of the Jacobian Determinant in Parameter Inference for Random Parameter and Random Measurement Error Models.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Bamdad Hosseini	Two Metropolis-Hastings Algorithms for Posterior Measures with Non-Gaussian Priors in Infinite Dimensions.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Christopher Müller, Sebastian Ullmann, Jens Lang 0001	A Bramble-Pasciak Conjugate Gradient Method for Discrete Stokes Equations with Random Viscosity.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Frédéric Cérou, Bernard Delyon, Arnaud Guyader, Mathias Rousset	On the Asymptotic Normality of Adaptive Multilevel Splitting.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Ian R. Vernon, Samuel E. Jackson, Jonathan A. Cumming	Known Boundary Emulation of Complex Computer Models.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Pranay Seshadri, Henry Shaowu Yuchi, Geoffrey T. Parks	Dimension Reduction via Gaussian Ridge Functions.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Christian Kahle, Kei Fong Lam, Jonas Latz, Elisabeth Ullmann	Bayesian Parameter Identification in Cahn-Hilliard Models for Biological Growth.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Minyong R. Lee	Modified Active Subspaces Using the Average of Gradients.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Joseph L. Hart, Pierre-Alain Gremaud	Robustness of the Sobol' Indices to Marginal Distribution Uncertainty.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Nikolas Nüsken, Grigorios A. Pavliotis	Constructing Sampling Schemes via Coupling: Markov Semigroups and Optimal Transport.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Gianluca Detommaso, Tim J. Dodwell, Robert Scheichl	Continuous Level Monte Carlo and Sample-Adaptive Model Hierarchies.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Zachary del Rosario, Minyong Lee, Gianluca Iaccarino	Lurking Variable Detection via Dimensional Analysis.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Arvind K. Saibaba, Johnathan M. Bardsley, D. Andrew Brown, Alen Alexanderian	Efficient Marginalization-Based MCMC Methods for Hierarchical Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Christian Clason, Tapio Helin, Remo Kretschmann, Petteri Piiroinen	Generalized Modes in Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2019	DBLP DOI BibTeX RDF
17	Elizabeth Qian, Benjamin Peherstorfer, Daniel O'Malley, Velimir V. Vesselinov, Karen Willcox	Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Alex Bespalov, Leonardo Rocchi	Efficient Adaptive Algorithms for Elliptic PDEs with Random Data.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Donsub Rim, Scott Moe, Randall J. LeVeque	Transport Reversal for Model Reduction of Hyperbolic Partial Differential Equations.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant	Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Rebecca E. Morrison, Todd A. Oliver, Robert D. Moser	Representing Model Inadequacy: A Stochastic Operator Approach.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Ana Djurdjevac, Charles M. Elliott, Ralf Kornhuber, Thomas Ranner	Evolving Surface Finite Element Methods for Random Advection-Diffusion Equations.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Kookjin Lee, Bedrich Sousedík	Inexact Methods for Symmetric Stochastic Eigenvalue Problems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Drew P. Kouri, Thomas M. Surowiec	Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Ben Adcock, Anyi Bao, John D. Jakeman, Akil Narayan 0001	Compressed Sensing with Sparse Corruptions: Fault-Tolerant Sparse Collocation Approximations.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Michael B. Giles, Francisco Bernal	Multilevel Estimation of Expected Exit Times and Other Functionals of Stopped Diffusions.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	D. Andrew Brown, Arvind K. Saibaba, Sarah Vallélian	Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Xun Huan, Cosmin Safta, Khachik Sargsyan, Zachary P. Vane, Guilhem Lacaze, Joseph C. Oefelein, Habib N. Najm	Compressive Sensing with Cross-Validation and Stop-Sampling for Sparse Polynomial Chaos Expansions.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Han Cheng Lie, Timothy John Sullivan, Aretha L. Teckentrup	Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Arun Hegde, Wenyu Li, James Oreluk, Andrew K. Packard, Michael Frenklach	Consistency Analysis for Massively Inconsistent Datasets in Bound-to-Bound Data Collaboration.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Donsub Rim, Kyle T. Mandli	Displacement Interpolation Using Monotone Rearrangement.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Leifur Thorbergsson, Giles Hooker	Experimental Design for Partially Observed Markov Decision Processes.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Daniel Sanz-Alonso	Importance Sampling and Necessary Sample Size: An Information Theory Approach.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Matthew D. Parno, Youssef M. Marzouk	Transport Map Accelerated Markov Chain Monte Carlo.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Sébastien Marmin, David Ginsbourger, Jean Baccou, Jacques Liandrat	Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Clemens Heitzinger, Gudmund Pammer, Stefan Rigger	Cubature Formulas for Multisymmetric Functions and Applications to Stochastic Partial Differential Equations.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Ksenia N. Kyzyurova, James O. Berger, Robert L. Wolpert	Coupling Computer Models through Linking Their Statistical Emulators.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Max D. Morris	Decomposing Functional Model Inputs for Variance-Based Sensitivity Analysis.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Gal Shulkind, Lior Horesh, Haim Avron	Experimental Design for Nonparametric Correction of Misspecified Dynamical Models.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Jeremie Houssineau, Adrian N. Bishop	Smoothing and Filtering with a Class of Outer Measures.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Grace X. Hu, David R. Kuipers, Yong Zeng	Bayesian Inference via Filtering Equations for Ultrahigh Frequency Data (II): Model Selection.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Davide Torlo, Francesco Ballarin, Gianluigi Rozza	Stabilized Weighted Reduced Basis Methods for Parametrized Advection Dominated Problems with Random Inputs.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Sebastian Krumscheid, Fabio Nobile	Multilevel Monte Carlo Approximation of Functions.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Nan Chen 0004, 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	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Clemens Heitzinger, Michael Leumüller, Gudmund Pammer, Stefan Rigger	Existence, Uniqueness, and a Comparison of Nonintrusive Methods for the Stochastic Nonlinear Poisson-Boltzmann Equation.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Kookjin Lee, Kevin Carlberg, Howard C. Elman	Stochastic Least-Squares Petrov-Galerkin Method for Parameterized Linear Systems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Gilles Blanchard, Marc Hoffmann, Markus Reiß	Optimal Adaptation for Early Stopping in Statistical Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Fabrice Gamboa, Thierry Klein, Agnès Lagnoux	Sensitivity Analysis Based on Cramér-von Mises Distance.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Peter Binev, Albert Cohen 0002, Olga Mula, James A. Nichols	Greedy Algorithms for Optimal Measurements Selection in State Estimation Using Reduced Models.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Matthias Heinkenschloss, Boris Kramer, Timur Takhtaganov, Karen Willcox	Conditional-Value-at-Risk Estimation via Reduced-Order Models.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Mengyang Gu, Long Wang	Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Ramakrishna Tipireddy, Panos Stinis, Alexandre M. Tartakovsky	Stochastic Basis Adaptation and Spatial Domain Decomposition for Partial Differential Equations with Random Coefficients.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	David A. Barajas-Solano, Alexandre M. Tartakovsky	Probability and Cumulative Density Function Methods for the Stochastic Advection-Reaction Equation.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Benjamin Peherstorfer, Boris Kramer, Karen Willcox	Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Robert N. Gantner, M. D. Peters	Higher-Order Quasi-Monte Carlo for Bayesian Shape Inversion.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Peter Benner, Yue Qiu, Martin Stoll	Low-Rank Eigenvector Compression of Posterior Covariance Matrices for Linear Gaussian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Xu He, Peter Chien	On the Instability Issue of Gradient-Enhanced Gaussian Process Emulators for Computer Experiments.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Erkan Nane, Nguyen Huy Tuan	Approximate Solutions of Inverse Problems for Nonlinear Space Fractional Diffusion Equations with Randomly Perturbed Data.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Andrea Barth, Andreas Stein	A Study of Elliptic Partial Differential Equations with Jump Diffusion Coefficients.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Joseph Durante, Raj Patel, Warren B. Powell	Scenario Generation Methods that Replicate Crossing Times in Spatially Distributed Stochastic Systems.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Sharif Rahman	Mathematical Properties of Polynomial Dimensional Decomposition.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	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	2018	DBLP DOI BibTeX RDF
17	Grace X. Hu, David R. Kuipers, Yong Zeng	Bayesian Inference via Filtering Equations for Ultrahigh Frequency Data (I): Model and Estimation.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Rafael Ballester-Ripoll, Enrique G. Paredes, Renato Pajarola	Tensor Algorithms for Advanced Sensitivity Metrics.	SIAM/ASA J. Uncertain. Quantification	2018	DBLP DOI BibTeX RDF
17	Ahmad Ahmad Ali, Elisabeth Ullmann, Michael Hinze	Multilevel Monte Carlo Analysis for Optimal Control of Elliptic PDEs with Random Coefficients.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Alexandre Iolov, Susanne Ditlevsen, André Longtin	Optimal Design for Estimation in Diffusion Processes from First Hitting Times.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Xiaoyu Liu, Serge Guillas	Dimension Reduction for Gaussian Process Emulation: An Application to the Influence of Bathymetry on Tsunami Heights.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Michael Sinsbeck, Wolfgang Nowak	Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Shelby R. Stanhope, Jonathan E. Rubin, David Swigon	Robustness of Solutions of the Inverse Problem for Linear Dynamical Systems with Uncertain Data.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Qin Li 0007, Li Wang 0101	Uniform Regularity for Linear Kinetic Equations with Random Input Based on Hypocoercivity.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	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.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	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.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Ya-Ting Huang, James Glimm	A Novel Methodology of Stochastic Short Term Forecasting of Cloud Boundaries.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Chu V. Mai, Bruno Sudret	Surrogate Models for Oscillatory Systems Using Sparse Polynomial Chaos Expansions and Stochastic Time Warping.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Ruimeng Hu, Mike Ludkovski	Sequential Design for Ranking Response Surfaces.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Michael Griebel, Christian Rieger	Reproducing Kernel Hilbert Spaces for Parametric Partial Differential Equations.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Mircea Grigoriu	Estimates of System Response Maxima by Extreme Value Theory and Surrogate Models.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Dean S. Oliver	Metropolized Randomized Maximum Likelihood for Improved Sampling from Multimodal Distributions.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Andrew Papanicolaou, Konstantinos Spiliopoulos	Dimension Reduction in Statistical Estimation of Partially Observed Multiscale Processes.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Yulong Lu, Andrew M. Stuart, Hendrik Weber	Gaussian Approximations for Probability Measures on Rd.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Noura Fajraoui, Stefano Marelli, Bruno Sudret	Sequential Design of Experiment for Sparse Polynomial Chaos Expansions.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Julien Bect, Ling Li, Emmanuel Vázquez	Bayesian Subset Simulation.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Timothy C. Wallstrom	On the Application of McDiarmid's Inequality to Complex Systems.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Panagiotis Tsilifis, Roger G. Ghanem, Paris Hajali	Efficient Bayesian Experimentation Using an Expected Information Gain Lower Bound.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Christian Soize	Optimal Partition in Terms of Independent Random Vectors of Any Non-Gaussian Vector Defined by a Set of Realizations.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF
17	Malek Ben Salem 0002, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso	Universal Prediction Distribution for Surrogate Models.	SIAM/ASA J. Uncertain. Quantification	2017	DBLP DOI BibTeX RDF