International Journal for Uncertainty Quantification
Latest Publications

TOTAL DOCUMENTS

333

(FIVE YEARS 30)

H-INDEX

(FIVE YEARS 0)

Published By Begell House Inc.

2152-5080

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Stable Likelihood Computation for Machine Learning of Linear Differential Operators with Gaussian Processes

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2022038966 ◽

2022 ◽

Author(s):

Omid Chatrabgoun ◽

Mohsen Esmaeilbeigi ◽

Meisam Cheraghi ◽

Alireza Daneshkhah

Keyword(s):

Machine Learning ◽

Gaussian Processes ◽

Differential Operators ◽

Linear Differential Operators ◽

Linear Differential

Multilevel Quasi-Monte Carlo For Interval Analysis

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2022039245 ◽

2022 ◽

Author(s):

Robin Callens ◽

Matthias Faes ◽

David Moens

Keyword(s):

Monte Carlo ◽

Interval Analysis ◽

Quasi Monte Carlo

Sparse Gaussian process model with mixed covariance function for uncertainty quantification

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021035851 ◽

2021 ◽

Author(s):

kai cheng ◽

Zhenzhou Lu ◽

Sinan Xiao ◽

Sergey Oladyshkin ◽

Wolfgang Nowak

Keyword(s):

Gaussian Process ◽

Uncertainty Quantification ◽

Process Model ◽

Covariance Function ◽

Gaussian Process Model

Local Voronoi tessellations for robust multi-wave calibration of computer models

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021034779 ◽

2021 ◽

Author(s):

Wenzhe Xu ◽

Daniel Williamson ◽

Peter Challenor

Keyword(s):

Computer Models ◽

Voronoi Tessellations

Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021037960 ◽

2021 ◽

Author(s):

Lorenzo Pareschi ◽

Torsten Trimborn ◽

Mattia Zanella

Keyword(s):

Kinetic Equations ◽

Mean Field ◽

Control Variate ◽

Field Control

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021035961 ◽

2021 ◽

Author(s):

Stefano Pagani ◽

Andrea Manzoni ◽

Kevin Carlberg

Keyword(s):

Reduced Order Models ◽

Reduced Order

SPARSE TENSOR PRODUCT APPROXIMATION FOR A CLASS OF GENERALIZED METHOD OF MOMENTS ESTIMATORS

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021037549 ◽

2021 ◽

Author(s):

Alexandros Gilch ◽

Michael Griebel ◽

Jens Oettershagen

Keyword(s):

Tensor Product ◽

Method Of Moments ◽

Generalized Method Of Moments ◽

Tensor Product Approximation ◽

Moments Estimators

Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021036153 ◽

2021 ◽

Author(s):

Nora Lüthen ◽

Stefano Marelli ◽

Bruno Sudret

Keyword(s):

Polynomial Chaos ◽

Engineering Applications ◽

Sparse Polynomial ◽

Automatic Selection ◽

Polynomial Chaos Expansions ◽

Selection Of

A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021035621 ◽

2021 ◽

Author(s):

Raphaël Gautier ◽

Piyush Pandita ◽

Sayan Ghosh ◽

Dimitri Mavris

Keyword(s):

Dimension Reduction ◽

Gaussian Processes ◽

Reduction Method ◽

Dimension Reduction Method ◽

Supervised Dimension Reduction ◽

Fully Bayesian

GLOBAL SENSITIVITY ANALYSIS MEASURES BASED ON STATISTICAL DISTANCES

International Journal for Uncertainty Quantification ◽

10.1615/int.j.uncertaintyquantification.2021035424 ◽

2021 ◽

Author(s):

Souransu Nandi ◽

Tarunraj Singh

Keyword(s):

Sensitivity Analysis ◽

Global Sensitivity Analysis ◽

Global Sensitivity

International Journal for Uncertainty QuantificationLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Begell House Inc.

Stable Likelihood Computation for Machine Learning of Linear Differential Operators with Gaussian Processes

Multilevel Quasi-Monte Carlo For Interval Analysis

Sparse Gaussian process model with mixed covariance function for uncertainty quantification

Local Voronoi tessellations for robust multi-wave calibration of computer models

Mean-field control variate methods for kinetic equations with uncertainties and applications to socio-economic sciences

Statistical closure modeling for reduced-order models of stationary systems by the ROMES method

SPARSE TENSOR PRODUCT APPROXIMATION FOR A CLASS OF GENERALIZED METHOD OF MOMENTS ESTIMATORS

Automatic selection of basis-adaptive sparse polynomial chaos expansions for engineering applications

A Fully Bayesian Gradient-Free Supervised Dimension Reduction Method using Gaussian Processes

GLOBAL SENSITIVITY ANALYSIS MEASURES BASED ON STATISTICAL DISTANCES

International Journal for Uncertainty Quantification
Latest Publications