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SIAM/ASA J. Uncertain. Quantification
2013
2017
2019
2024
2013
2024
Keyphrases
Publications
volume 12, number 1, 2024
Mahadevan Ganesh
,
Frances Y. Kuo
,
Ian H. Sloan
Corrigendum: Quasi-Monte Carlo Finite Element Analysis for Wave Propagation in Heterogeneous Random Media.
SIAM/ASA J. Uncertain. Quantification
12 (1) (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) (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) (2024)
Jed A. Duersch
Projective Integral Updates for High-Dimensional Variational Inference.
SIAM/ASA J. Uncertain. Quantification
12 (1) (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) (2024)
Xianliang Gong
,
Yulin Pan
Multifidelity Bayesian Experimental Design to Quantify Rare-Event Statistics.
SIAM/ASA J. Uncertain. Quantification
12 (1) (2024)
Ningxin Liu
,
Lijian Jiang
Perron-Frobenius Operator Filter for Stochastic Dynamical Systems.
SIAM/ASA J. Uncertain. Quantification
12 (1) (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) (2024)
volume 12, number 2, 2024
Qin Li
,
Li Wang
,
Yunan Yang
Differential Equation-Constrained Optimization with Stochasticity.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Carsten Hartmann
,
Lorenz Richter
Nonasymptotic Bounds for Suboptimal Importance Sampling.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Yi Ji
,
Henry Shaowu Yuchi
,
Derek Soeder
,
Jean-François Paquet
,
Steffen A. Bass
,
V. Roshan Joseph
,
C. F. Jeff Wu
,
Simon Mak
Conglomerate Multi-fidelity Gaussian Process Modeling, with Application to Heavy-Ion Collisions.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Fabio Nobile
,
Tommaso Vanzan
A Combination Technique for Optimal Control Problems Constrained by Random PDEs.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Kellin N. Rumsey
,
Devin Francom
,
Andy Shen
Generalized Bayesian MARS: Tools for Stochastic Computer Model Emulation.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Konstantin Häberle
,
Barbara Bravi
,
Anthea Monod
Wavelet-Based Density Estimation for Persistent Homology.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Helmut Harbrecht
,
Viacheslav Karnaev
,
Marc Schmidlin
Quantifying Domain Uncertainty in Linear Elasticity.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Nuojin Cheng
,
Osman Asif Malik
,
Yiming Xu
,
Stephen Becker
,
Alireza Doostan
,
Akil Narayan
Subsampling of Parametric Models with Bifidelity Boosting.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Omar Al Ghattas
,
Jiajun Bao
,
Daniel Sanz-Alonso
Ensemble Kalman Filters with Resampling.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Grigorios A. Pavliotis
,
Andrea Zanoni
A Method of Moments Estimator for Interacting Particle Systems and their Mean Field Limit.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Rafael Ballester-Ripoll
Computing Statistical Moments Via Tensorization of Polynomial Chaos Expansions.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Daniela Calvetti
,
Erkki Somersalo
Computationally Efficient Sampling Methods for Sparsity Promoting Hierarchical Bayesian Models.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Jianbo Cui
,
Liying Sun
Quantifying the Effect of Random Dispersion for Logarithmic Schrödinger Equation.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Jan Glaubitz
,
Anne Gelb
Leveraging Joint Sparsity in Hierarchical Bayesian Learning.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Jacob Curran-Sebastian
,
Lorenzo Pellis
,
Ian M. Hall
,
Thomas A. House
Calculation of Epidemic First Passage and Peak Time Probability Distributions.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Margot Herin
,
Marouane Il Idrissi
,
Vincent Chabridon
,
Bertrand Iooss
Proportional Marginal Effects for Global Sensitivity Analysis.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Philipp A. Guth
,
Claudia Schillings
,
Simon Weissmann
One-Shot Learning of Surrogates in PDE-Constrained Optimization under Uncertainty.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
Fabienne Comte
,
Valentine Genon-Catalot
Nonparametric Estimation for Independent and Identically Distributed Stochastic Differential Equations with Space-Time Dependent Coefficients.
SIAM/ASA J. Uncertain. Quantification
12 (2) (2024)
volume 12, number 3, 2024
Mircea Grigoriu
Harmonizable Nonstationary Processes.
SIAM/ASA J. Uncertain. Quantification
12 (3) (2024)
Nada Cvetkovic
,
Han Cheng Lie
,
Harshit Bansal
,
Karen Veroy
Choosing Observation Operators to Mitigate Model Error in Bayesian Inverse Problems.
SIAM/ASA J. Uncertain. Quantification
12 (3) (2024)
Hossein Mohammadi
,
Peter G. Challenor
,
Marc Goodfellow
Emulating Complex Dynamical Simulators with Random Fourier Features.
SIAM/ASA J. Uncertain. Quantification
12 (3) (2024)
Feng Yu
,
Lixin Shen
,
Guohui Song
Hyperparameter Estimation for Sparse Bayesian Learning Models.
SIAM/ASA J. Uncertain. Quantification
12 (3) (2024)
Liu Liu
,
Kunlun Qi
Spectral Convergence of a Semi-discretized Numerical System for the Spatially Homogeneous Boltzmann Equation with Uncertainties.
SIAM/ASA J. Uncertain. Quantification
12 (3) (2024)
volume 11, number 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)
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)
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)
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)
Sam Allen
,
David Ginsbourger
,
Johanna Ziegel
Evaluating Forecasts for High-Impact Events Using Transformed Kernel Scores.
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)
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)
Cécile Haberstich
,
Anthony Nouy
,
Guillaume Perrin
Active Learning of Tree Tensor Networks using Optimal Least Squares.
SIAM/ASA J. Uncertain. Quantification
11 (3) (2023)
volume 11, number 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)
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)
Remo Kretschmann
Are Minimizers of the Onsager-Machlup Functional Strong Posterior Modes?
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)
Johannes Milz
Reliable Error Estimates for Optimal Control of Linear Elliptic PDEs with Random Inputs.
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)
Toni Karvonen
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation.
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)
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)
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)