SIAM/ASA Journal on Uncertainty Quantification
Latest Publications

TOTAL DOCUMENTS

433

(FIVE YEARS 59)

H-INDEX

(FIVE YEARS 0)

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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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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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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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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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 ◽

Series Data

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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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Uncertainty Quantification for the BGK Model of the Boltzmann Equation Using Multilevel Variance Reduced Monte Carlo Methods

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/20m1331846 ◽

2021 ◽

Vol 9 (2) ◽

pp. 650-680

Author(s):

Jingwei Hu ◽

Lorenzo Pareschi ◽

Yubo Wang

Keyword(s):

Monte Carlo ◽

Boltzmann Equation ◽

Uncertainty Quantification ◽

Monte Carlo Methods ◽

Bgk Model ◽

The Boltzmann Equation

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Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/19m1302995 ◽

2021 ◽

Vol 9 (2) ◽

pp. 420-445

Author(s):

Henning Omre ◽

Kjartan Rimstad

Keyword(s):

Gaussian Prior ◽

Prior Models

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Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter

SIAM/ASA Journal on Uncertainty Quantification ◽

10.1137/19m1297300 ◽

2021 ◽

Vol 9 (2) ◽

pp. 681-707

Author(s):

María Magdalena Lucini ◽

Peter Jan van Leeuwen ◽

Manuel Pulido

Keyword(s):

Error Estimation ◽

Expectation Maximization ◽

Expectation Maximization Algorithm ◽

Model Error ◽

Particle Flow

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SIAM/ASA Journal on Uncertainty QuantificationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Society For Industrial And Applied Mathematics

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

Bayesian Inference of an Uncertain Generalized Diffusion Operator

A Generalized Kernel Method for Global Sensitivity Analysis

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

Landmark-Warped Emulators for Models with Misaligned Functional Response

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

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

Uncertainty Quantification for the BGK Model of the Boltzmann Equation Using Multilevel Variance Reduced Monte Carlo Methods

Bayesian Spatial Inversion and Conjugate Selection Gaussian Prior Models

Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter

SIAM/ASA Journal on Uncertainty Quantification
Latest Publications