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Publication search results
found 543 matches
- 2024
- Guillaume Chennetier, Hassane Chraibi, Anne Dutfoy, Josselin Garnier:
Adaptive Importance Sampling Based on Fault Tree Analysis for Piecewise Deterministic Markov Process. SIAM/ASA J. Uncertain. Quantification 12(1): 128-156 (2024) - Jed A. Duersch:
Projective Integral Updates for High-Dimensional Variational Inference. SIAM/ASA J. Uncertain. Quantification 12(1): 69-100 (2024) - Xianliang Gong, Yulin Pan:
Multifidelity Bayesian Experimental Design to Quantify Rare-Event Statistics. SIAM/ASA J. Uncertain. Quantification 12(1): 101-127 (2024) - Daniel Sanz-Alonso, Nathan Waniorek:
Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators under Mesh Refinement. SIAM/ASA J. Uncertain. Quantification 12(1): 30-68 (2024) - Chih-Li Sung, Yi (irene) Ji, Simon Mak, Wenjia Wang, Tao Tang:
Stacking Designs: Designing Multifidelity Computer Experiments with Target Predictive Accuracy. SIAM/ASA J. Uncertain. Quantification 12(1): 157-181 (2024) - Zhizhang Wu, Zhiwen Zhang, Xiaofei Zhao:
Error Estimate of a Quasi-Monte Carlo Time-Splitting Pseudospectral Method for Nonlinear Schrödinger Equation with Random Potentials. SIAM/ASA J. Uncertain. Quantification 12(1): 1-29 (2024) - 2023
- Babak Maboudi Afkham, Yiqiu Dong, Per Christian Hansen:
Uncertainty Quantification of Inclusion Boundaries in the Context of X-Ray Tomography. SIAM/ASA J. Uncertain. Quantification 11(1): 31-61 (2023) - Sam Allen, David Ginsbourger, Johanna Ziegel:
Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores. SIAM/ASA J. Uncertain. Quantification 11(3): 906-940 (2023) - 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 11(1): 285-319 (2023) - 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 11(3): 877-905 (2023) - 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 11(4): 1329-1356 (2023) - 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 11(2): 389-425 (2023) - Christophette Blanchet-Scalliet, Bruno Demory, Thierry Gonon, Céline Helbert:
Gaussian Process Regression on Nested Spaces. SIAM/ASA J. Uncertain. Quantification 11(2): 426-451 (2023) - Leon Bungert, Philipp Wacker:
Complete Deterministic Dynamics and Spectral Decomposition of the Linear Ensemble Kalman Inversion. SIAM/ASA J. Uncertain. Quantification 11(1): 320-357 (2023) - 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 11(3): 814-847 (2023) - Martin Chak, Nikolas Kantas, Grigorios A. Pavliotis:
On the Generalized Langevin Equation for Simulated Annealing. SIAM/ASA J. Uncertain. Quantification 11(1): 139-167 (2023) - Yian Chen, Mihai Anitescu:
Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices. SIAM/ASA J. Uncertain. Quantification 11(2): 682-725 (2023) - 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 11(3): 941-969 (2023) - Teo Deveney, Eike Hermann Müller, Tony Shardlow:
Deep Surrogate Accelerated Delayed-Acceptance Hamiltonian Monte Carlo for Bayesian Inference of Spatio-Temporal Heat Fluxes in Rotating Disc Systems. SIAM/ASA J. Uncertain. Quantification 11(3): 970-995 (2023) - Ben Mansour Dia:
A Continuation Method in Bayesian Inference. SIAM/ASA J. Uncertain. Quantification 11(2): 646-681 (2023) - Wouter Edeling:
On the Deep Active-Subspace Method. SIAM/ASA J. Uncertain. Quantification 11(1): 62-90 (2023) - 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 11(1): 358-388 (2023) - Jasper M. Everink, Yiqiu Dong, Martin S. Andersen:
Bayesian Inference with Projected Densities. SIAM/ASA J. Uncertain. Quantification 11(3): 1025-1043 (2023) - Jan Glaubitz, Anne Gelb, Guohui Song:
Generalized Sparse Bayesian Learning and Application to Image Reconstruction. SIAM/ASA J. Uncertain. Quantification 11(1): 262-284 (2023) - Fedor Goncharov, Eric Barat, Thomas Dautremer:
Nonparametric Posterior Learning for Emission Tomography. SIAM/ASA J. Uncertain. Quantification 11(2): 452-479 (2023) - Cécile Haberstich, Anthony Nouy, Guillaume Perrin:
Active Learning of Tree Tensor Networks using Optimal Least Squares. SIAM/ASA J. Uncertain. Quantification 11(3): 848-876 (2023) - Vilho Halonen, Ilkka Pölönen:
Quantification of Errors Generated by Uncertain Data in a Linear Boundary Value Problem Using Neural Networks. SIAM/ASA J. Uncertain. Quantification 11(4): 1258-1277 (2023) - Jeremy Heng, Ajay Jasra, Kody J. H. Law, Alexander Tarakanov:
On Unbiased Estimation for Discretized Models. SIAM/ASA J. Uncertain. Quantification 11(2): 616-645 (2023) - 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 11(2): 480-513 (2023) - Tim Jahn:
Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise. SIAM/ASA J. Uncertain. Quantification 11(2): 591-615 (2023)
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