- 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) - Toni Karvonen
:
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation. SIAM/ASA J. Uncertain. Quantification 11(4): 1225-1257 (2023) - Baptiste Kerleguer:
Multifidelity Surrogate Modeling for Time-Series Outputs. SIAM/ASA J. Uncertain. Quantification 11(2): 514-539 (2023) - Remo Kretschmann
:
Are Minimizers of the Onsager-Machlup Functional Strong Posterior Modes? SIAM/ASA J. Uncertain. Quantification 11(4): 1105-1138 (2023) - 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 11(4): 1195-1224 (2023) - Yao Li
, Yaping Yuan:
Sensitivity Analysis of Quasi-Stationary Distributions (QSDs) of Mass-Action Systems. SIAM/ASA J. Uncertain. Quantification 11(4): 1164-1194 (2023) - Shurui Lv, Jun Yu, Yan Wang
, Jiang Du:
Fast Calibration for Computer Models with Massive Physical Observations. SIAM/ASA J. Uncertain. Quantification 11(3): 1069-1104 (2023)