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ISSN Print: 2152-5080
ISSN Online: 2152-5099

Forthcoming Articles

Exploration of multifidelity UQ sampling strategies for computer network applications Gianluca Geraci, Jonathan Crussell, Laura Swiler, Bert Debusschere

Gianluca Geraci
Sandia National Laboratories

Jonathan Crussell
Sandia National Laboratories

Laura Swiler
Sandia National Laboratories

Bert Debusschere
Sandia National Laboratories

DOI: 10.1615/Int.J.UncertaintyQuantification.2021033774

EMBEDDED MULTILEVEL MONTE CARLO FOR UNCERTAINTY QUANTIFICATION IN RANDOM DOMAINS Santiago Badia, Jerrad Hampton, Javier Principe

Santiago Badia
School of Mathematics, Monash University; Centre Internacional de Mètodes Numèrics a l’Enginyeria

Jerrad Hampton
Centre Internacional de Mètodes Numèrics a l’Enginyeria

Javier Principe
Centre Internacional de Mètodes Numèrics a l’Enginyeria; Universitat Politècnica de Catalunya

DOI: 10.1615/Int.J.UncertaintyQuantification.2021032984

ERROR CONTROL IN THE NUMERICAL POSTERIOR DISTRIBUTION IN THE BAYESIAN UQ ANALYSIS OF A SEMILINEAR EVOLUTION PDE Maria L. Daza-Torres, J. Cricelio Montesinos-López, Marcos A. Capistrán, J. Andrés Christen, Heikki Haario

Maria L. Daza-Torres
Universidad de Guadalajara

J. Cricelio Montesinos-López
Centro de Investigación en Matemáticas, A.C

Marcos A. Capistrán
Centro de Investigación en Matemáticas, A.C

J. Andrés Christen
Centro de Investigación en Matemáticas, A.C

Heikki Haario
Lappeenranta University of Technology, Department of computational and process engineering and Finnish Meteorological Institute

DOI: 10.1615/Int.J.UncertaintyQuantification.2020033516

Application of the ?-Neumann-Monte Carlo methodology in the quantification of uncertainties in the problem of stochastic bending of Kirchhoff plates Cláudio Roberto Ávila Junior, Roberto Squarcio, João Lucas Cavichiolo, João Morais Neto

Cláudio Roberto Ávila Junior
PPGEM - Federal University of Technology – Paraná

Roberto Squarcio
Federal University of Technology - Paraná, PPGEM

João Lucas Cavichiolo
PPGEM, Federal University of Technology – Paraná

João Morais Neto
Mechanical Engineering Department, Federal University of Paraná - Paraná

DOI: 10.1615/Int.J.UncertaintyQuantification.2020034192

An efficient computational method for parameter identification in the context of random set theory via Bayesian inversion Truong Vinh Hoang, Hermann G. Matthies

Truong Vinh Hoang
Chair of Mathematics for Uncertainty Quantification, RWTH-Aachen University

Hermann G. Matthies
Technische Universität Braunschweig

DOI: 10.1615/Int.J.UncertaintyQuantification.2020031869

Isogeometric Methods for Karhunen-Loeve Representation of Random Fields on Arbitrary Multi-patch Domains Ramin Jahanbin, Sharif Rahman

Ramin Jahanbin
The University of Iowa

Sharif Rahman
The University of Iowa

DOI: 10.1615/Int.J.UncertaintyQuantification.2020035185

Multi-Index Sequential Monte Carlo Methods for partially observed Stochastic Partial Differential Equations Kody Law, Ajay Jasra, Yaxian Xu

Kody Law
University of Manchester

Ajay Jasra
KAUST

Yaxian Xu
NUS

DOI: 10.1615/Int.J.UncertaintyQuantification.2020033219

Deep learning of parameterized equations with applications to uncertainty quantification Tong Qin, Zhen Chen, John Jakeman, Dongbin Xiu

Tong Qin
The Ohio State University

Zhen Chen
Department of Mathematics, The Ohio State University

John Jakeman
Optimization and Uncertainty Quantification Department, Sandia National Laboratory

Dongbin Xiu
Ohio Eminent Scholar Department of Mathematics The Ohio State University Columbus, Ohio 43210, USA

DOI: 10.1615/Int.J.UncertaintyQuantification.2020034123

Method of Distributions for Systems with Stochastic Forcing Rik Rutjens, Gustaaf Jacobs, Daniel Tartakovsky

Rik Rutjens
San Diego State University

Gustaaf Jacobs
San Diego State University

Daniel Tartakovsky
Stanford University

DOI: 10.1615/Int.J.UncertaintyQuantification.2020031940

PARAMETER ESTIMATION OF STOCHASTIC CHAOTIC SYSTEMS Ramona Maraia, sebastian springer, Heikki Haario, Janne Hakkarainen, Eero Saksman

Ramona Maraia
LUT University of Technology

sebastian springer
LUT university

Heikki Haario
LUT University, Finnish Metereological Institute

Janne Hakkarainen
Finnish Metereological Institute

Eero Saksman
University of Helsinki

DOI: 10.1615/Int.J.UncertaintyQuantification.2020032807

Computation of Sobol indices in global sensitivity analysis from small data sets by probabilistic learning on manifolds Maarten Arnst, Christian Soize, Kevin Bulthuis

Maarten Arnst
University of Liege

Christian Soize
Université Paris-Est Marne-la-Vallée

Kevin Bulthuis
University of Liege

DOI: 10.1615/Int.J.UncertaintyQuantification.2020032674

Stochastic Spectral Embedding Stefano Marelli, Paul-Remo Wagner, Christos Lataniotis, Bruno Sudret

Stefano Marelli
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5,8093 Zurich, Switzerland

Paul-Remo Wagner
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5,8093 Zurich, Switzerland

Christos Lataniotis
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5,8093 Zurich, Switzerland

Bruno Sudret
Chair of Risk, Safety and Uncertainty Quantification, ETH Zurich, Stefano-Franscini-Platz 5,8093 Zurich, Switzerland

DOI: 10.1615/Int.J.UncertaintyQuantification.2020034395

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