SIAM/ASA Journal on Uncertainty Quantification
Latest Publications

TOTAL DOCUMENTS

433

(FIVE YEARS 161)

H-INDEX

23

(FIVE YEARS 5)

Published By Society For Industrial And Applied Mathematics

2166-2525

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/21m1410488 ◽

2022 ◽

Vol 10 (1) ◽

pp. 96-124

Author(s):

Hà Quang Minh

Keyword(s):

Gaussian Processes ◽

Finite Sample ◽

Covariance Operators ◽

Wasserstein Distances

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Joint Online Parameter Estimation and Optimal Sensor Placement for the Partially Observed Stochastic Advection-Diffusion Equation

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1375073 ◽

2022 ◽

Vol 10 (1) ◽

pp. 55-95

Author(s):

Louis Sharrock ◽

Nikolas Kantas

Keyword(s):

Parameter Estimation ◽

Diffusion Equation ◽

Sensor Placement ◽

Optimal Sensor Placement ◽

Advection Diffusion Equation ◽

Advection Diffusion ◽

Partially Observed

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A Generalized Kernel Method for Global Sensitivity Analysis

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1354829 ◽

2022 ◽

Vol 10 (1) ◽

pp. 27-54

Author(s):

John Barr ◽

Herschel Rabitz

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Kernel Method ◽

Global Sensitivity ◽

Generalized Kernel

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Bayesian Inference of an Uncertain Generalized Diffusion Operator

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/21m141659x ◽

2022 ◽

Vol 10 (1) ◽

pp. 151-178

Author(s):

Teresa Portone ◽

Robert D. Moser

Keyword(s):

Bayesian Inference ◽

Diffusion Operator

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Landmark-Warped Emulators for Models with Misaligned Functional Response

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m135279x ◽

2022 ◽

Vol 10 (1) ◽

pp. 125-150

Author(s):

Devin Francom ◽

Bruno Sansó ◽

Ana Kupresanin

Keyword(s):

Functional Response

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Computer Model Calibration with Time Series Data Using Deep Learning and Quantile Regression

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1382581 ◽

2022 ◽

Vol 10 (1) ◽

pp. 1-26

Author(s):

Saumya Bhatnagar ◽

Won Chang ◽

Seonjin Kim ◽

Jiali Wang

Keyword(s):

Time Series ◽

Deep Learning ◽

Quantile Regression ◽

Computer Model ◽

Model Calibration ◽

Time Series Data ◽

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On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1330841 ◽

2021 ◽

Vol 9 (1) ◽

pp. 1-28

Author(s):

Shuai Lu ◽

Pingping Niu ◽

Frank Werner

Keyword(s):

Inverse Problems ◽

White Noise ◽

Linear Inverse Problems

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Optimal Design of Large-scale Bayesian Linear Inverse Problems Under Reducible Model Uncertainty: Good to Know What You Don't Know

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1347292 ◽

2021 ◽

Vol 9 (1) ◽

pp. 163-184

Author(s):

Alen Alexanderian ◽

Noemi Petra ◽

Georg Stadler ◽

Isaac Sunseri

Keyword(s):

Optimal Design ◽

Inverse Problems ◽

Model Uncertainty ◽

Large Scale ◽

Linear Inverse Problems

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Representing Model Discrepancy in Bound-to-Bound Data Collaboration

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/19m1270185 ◽

2021 ◽

Vol 9 (1) ◽

pp. 231-259

Author(s):

Wenyu Li ◽

Arun Hegde ◽

James Oreluk ◽

Andrew Packard ◽

Michael Frenklach

Keyword(s):

Model Discrepancy ◽

Data Collaboration

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Numerical Approximation of Optimal Convergence for Fractional Elliptic Equations with Additive Fractional Gaussian Noise

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1374286 ◽

2021 ◽

Vol 9 (3) ◽

pp. 1013-1033

Author(s):

Zhaopeng Hao ◽

Zhongqiang Zhang

Keyword(s):

Gaussian Noise ◽

Elliptic Equations ◽

Numerical Approximation ◽

Fractional Gaussian Noise ◽

Optimal Convergence

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