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SIAM/ASA J. Uncertain. Quantification
2013
2016
2020
2023
2013
2023
Keyphrases
Publications
volume 11, number 1, 2023
Wouter Edeling
On the Deep Active-Subspace Method.
SIAM/ASA J. Uncertain. Quantification
11 (1) (2023)
M. B. Lykkegaard
,
Tim J. Dodwell
,
Colin Fox
,
G. Mingas
,
Robert Scheichl
Multilevel Delayed Acceptance MCMC.
SIAM/ASA J. Uncertain. Quantification
11 (1) (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) (2023)
volume 11, number 2, 2023
Baptiste Kerleguer
Multifidelity Surrogate Modeling for Time-Series Outputs.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
Fedor Goncharov
,
Eric Barat
,
Thomas Dautremer
Nonparametric Posterior Learning for Emission Tomography.
SIAM/ASA J. Uncertain. Quantification
11 (2) (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) (2023)
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
11 (2) (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) (2023)
Christophette Blanchet-Scalliet
,
Bruno Demory
,
Thierry Gonon
,
Céline Helbert
Gaussian Process Regression on Nested Spaces.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
Tim Jahn
Noise Level Free Regularization of General Linear Inverse Problems under Unconstrained White Noise.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
Jeremy Heng
,
Ajay Jasra
,
Kody J. H. Law
,
Alexander Tarakanov
On Unbiased Estimation for Discretized Models.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
Ben Mansour Dia
A Continuation Method in Bayesian Inference.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
Euan A. Spence
,
Jared Wunsch
Wavenumber-Explicit Parametric Holomorphy of Helmholtz Solutions in the Context of Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
Yian Chen
,
Mihai Anitescu
Scalable Physics-Based Maximum Likelihood Estimation Using Hierarchical Matrices.
SIAM/ASA J. Uncertain. Quantification
11 (2) (2023)
volume 11, number 3, 2023
Cécile Haberstich
,
Anthony Nouy
,
Guillaume Perrin
Active Learning of Tree Tensor Networks using Optimal Least Squares.
SIAM/ASA J. Uncertain. Quantification
11 (3) (2023)
Shanyin Tong
,
Georg Stadler
Large Deviation Theory-based Adaptive Importance Sampling for Rare Events in High Dimensions.
SIAM/ASA J. Uncertain. Quantification
11 (3) (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) (2023)
Sam Allen
,
David Ginsbourger
,
Johanna Ziegel
Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores.
SIAM/ASA J. Uncertain. Quantification
11 (3) (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) (2023)
Nathaniel Pritchard
,
Vivak Patel
Towards Practical Large-Scale Randomized Iterative Least Squares Solvers through Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification
11 (3) (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) (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) (2023)
Vladimir G. Spokoiny
Dimension Free Nonasymptotic Bounds on the Accuracy of High-Dimensional Laplace Approximation.
SIAM/ASA J. Uncertain. Quantification
11 (3) (2023)
Prerna Patil
,
Hessam Babaee
Reduced-Order Modeling with Time-Dependent Bases for PDEs with Stochastic Boundary Conditions.
SIAM/ASA J. Uncertain. Quantification
11 (3) (2023)
Claudia Schillings
,
Claudia Totzeck
,
Philipp Wacker
Ensemble-Based Gradient Inference for Particle Methods in Optimization and Sampling.
SIAM/ASA J. Uncertain. Quantification
11 (3) (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) (2023)
Jasper M. Everink
,
Yiqiu Dong
,
Martin S. Andersen
Bayesian Inference with Projected Densities.
SIAM/ASA J. Uncertain. Quantification
11 (3) (2023)
volume 11, number 4, 2023
Sébastien Petit
,
Julien Bect
,
Paul Feliot
,
Emmanuel Vázquez
Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria.
SIAM/ASA J. Uncertain. Quantification
11 (4) (2023)
Johannes Milz
Reliable Error Estimates for Optimal Control of Linear Elliptic PDEs with Random Inputs.
SIAM/ASA J. Uncertain. Quantification
11 (4) (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) (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) (2023)
Yao Li
,
Yaping Yuan
Sensitivity Analysis of Quasi-Stationary Distributions (QSDs) of Mass-Action Systems.
SIAM/ASA J. Uncertain. Quantification
11 (4) (2023)
Yanni Papandreou
,
Jon Cockayne
,
Mark Girolami
,
Andrew B. Duncan
Theoretical Guarantees for the Statistical Finite Element Method.
SIAM/ASA J. Uncertain. Quantification
11 (4) (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) (2023)
Toni Karvonen
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation.
SIAM/ASA J. Uncertain. Quantification
11 (4) (2023)
Suraj Yerramilli
,
Akshay Iyer
,
Wei Chen
,
Daniel W. Apley
Fully Bayesian Inference for Latent Variable Gaussian Process Models.
SIAM/ASA J. Uncertain. Quantification
11 (4) (2023)
Remo Kretschmann
Are Minimizers of the Onsager-Machlup Functional Strong Posterior Modes?
SIAM/ASA J. Uncertain. Quantification
11 (4) (2023)
volume 10, number 4, 2022
Yifei Wang
,
Peng Chen
,
Wuchen Li
Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Marcus J. Grote
,
Simon Michel
,
Fabio Nobile
Uncertainty Quantification by Multilevel Monte Carlo and Local Time-Stepping for Wave Propagation.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
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
10 (4) (2022)
Thierry Klein
,
Nicolas Peteilh
,
Paul Rochet
Test Comparison for Sobol Indices over Nested Sets of Variables.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Florian Bourgey
,
Emmanuel Gobet
,
Clément Rey
A Comparative Study of Polynomial-Type Chaos Expansions for Indicator Functions.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Mengqi Hu
,
Yifei Lou
,
Xiu Yang
A General Framework of Rotational Sparse Approximation in Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Mengyang Gu
,
Fangzheng Xie
,
Long Wang
A Theoretical Framework of the Scaled Gaussian Stochastic Process in Prediction and Calibration.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Panagiota Birmpa
,
Jinchao Feng
,
Markos A. Katsoulakis
,
Luc Rey-Bellet
Model Uncertainty and Correctability for Directed Graphical Models.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Chih-Li Sung
,
Beau David Barber
,
Berkley J. Walker
Calibration of Inexact Computer Models with Heteroscedastic Errors.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Yan Wang
Penalized Projected Kernel Calibration for Computer Models.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Shiwei Lan
,
Shuyi Li
,
Babak Shahbaba
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems Using Deep Neural Networks.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Ömer Deniz Akyildiz
,
Connor Duffin
,
Sotirios Sabanis
,
Mark Girolami
Statistical Finite Elements via Langevin Dynamics.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)
Nan Chen
,
Quanling Deng
,
Samuel N. Stechmann
Superfloe Parameterization with Physics Constraints for Uncertainty Quantification of Sea Ice Floes.
SIAM/ASA J. Uncertain. Quantification
10 (4) (2022)