- Thierry Klein, Nicolas Peteilh, Paul Rochet
:
Test Comparison for Sobol Indices over Nested Sets of Variables. SIAM/ASA J. Uncertain. Quantification 10(4): 1586-1600 (2022) - Drew P. Kouri
, John D. Jakeman
, J. Gabriel Huerta:
Risk-Adapted Optimal Experimental Design. SIAM/ASA J. Uncertain. Quantification 10(2): 687-716 (2022) - Drew P. Kouri
, Thomas M. Surowiec
:
Corrigendum: "Existence and Optimality Conditions for Risk-Averse PDE-Constrained Optimization". SIAM/ASA J. Uncertain. Quantification 10(1): 1321-1322 (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): 1684-1713 (2022) - Kody J. H. Law
, Vitaly Zankin
:
Sparse Online Variational Bayesian Regression. SIAM/ASA J. Uncertain. Quantification 10(1): 1070-1100 (2022) - Moyan Li, Raed Kontar
:
On Negative Transfer and Structure of Latent Functions in Multioutput Gaussian Processes. SIAM/ASA J. Uncertain. Quantification 10(4): 1714-1732 (2022) - Peijun Li, Xu Wang:
An Inverse Random Source Problem for the Biharmonic Wave Equation. SIAM/ASA J. Uncertain. Quantification 10(1): 949-974 (2022) - Michael Lindsey
, Jonathan Weare, Anna Zhang:
Ensemble Markov Chain Monte Carlo with Teleporting Walkers. SIAM/ASA J. Uncertain. Quantification 10(3): 860-885 (2022) - Hà Quang Minh
:
Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes. SIAM/ASA J. Uncertain. Quantification 10(1): 96-124 (2022) - Hossein Mohammadi
, Peter G. Challenor
, Daniel B. Williamson
, Marc Goodfellow:
Cross-Validation-based Adaptive Sampling for Gaussian Process Models. SIAM/ASA J. Uncertain. Quantification 10(1): 294-316 (2022) - 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 10(1): 268-293 (2022) - Pratik Patil, Mikael Kuusela
, Jonathan Hobbs
:
Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals. SIAM/ASA J. Uncertain. Quantification 10(3): 827-859 (2022) - Trung Pham, Alex A. Gorodetsky:
Ensemble Approximate Control Variate Estimators: Applications to MultiFidelity Importance Sampling. SIAM/ASA J. Uncertain. Quantification 10(1): 1250-1292 (2022) - Teresa Portone
, Robert D. Moser:
Bayesian Inference of an Uncertain Generalized Diffusion Operator. SIAM/ASA J. Uncertain. Quantification 10(1): 151-178 (2022) - Sharif Rahman, Ramin Jahanbin
:
A Spline Dimensional Decomposition for Uncertainty Quantification in High Dimensions. SIAM/ASA J. Uncertain. Quantification 10(1): 404-438 (2022) - 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 10(1): 1191-1224 (2022) - 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 10(1): 1130-1161 (2022) - 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 10(2): 717-744 (2022) - Daniel Sanz-Alonso, Ruiyi Yang
:
Finite Element Representations of Gaussian Processes: Balancing Numerical and Statistical Accuracy. SIAM/ASA J. Uncertain. Quantification 10(4): 1323-1349 (2022) - Robert Sawko
, Malgorzata J. Zimon
:
Effective Generation of Compressed Stationary Gaussian Fields. SIAM/ASA J. Uncertain. Quantification 10(1): 439-452 (2022) - Laura Scarabosio
:
Deep Neural Network Surrogates for Nonsmooth Quantities of Interest in Shape Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 10(1): 975-1011 (2022) - 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 10(1): 55-95 (2022) - Bedrich Sousedík
, Kookjin Lee:
Stochastic Galerkin Methods for Linear Stability Analysis of Systems with Parametric Uncertainty. SIAM/ASA J. Uncertain. Quantification 10(1): 1101-1129 (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): 1733-1752 (2022) - 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 10(1): 1293-1320 (2022) - Fabian Wagner, Iason Papaioannou, Elisabeth Ullmann
:
The Ensemble Kalman Filter for Rare Event Estimation. SIAM/ASA J. Uncertain. Quantification 10(1): 317-349 (2022) - Yan Wang
:
Penalized Projected Kernel Calibration for Computer Models. SIAM/ASA J. Uncertain. Quantification 10(4): 1652-1683 (2022) - Yifei Wang
, Peng Chen, Wuchen Li:
Projected Wasserstein Gradient Descent for High-Dimensional Bayesian Inference. SIAM/ASA J. Uncertain. Quantification 10(4): 1513-1532 (2022) - 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 10(2): 619-650 (2022) - 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 10(1): 350-378 (2022)