Journal Report

International Journal for Uncertainty Quantification

Download PDF
Journal Information
Journal Title
International Journal for Uncertainty Quantification
Publisher
Begell House Inc.
ISSN
2152-5080
E-ISSN
2152-5099
Database
SCOPUS
Domain
Physical Sciences, Social Sciences
Classification History
Year A+ A B C
2026 ✓ ✓
2025 ✓ ✓
2024 ✓ ✓
2023 ✓ ✓
2021/2022 ✓ ✓
2020 ✓ ✓
2019 ✓ ✓ ✓
2018 ✓
A journal may have more than one classification in the same year. All recorded classifications are displayed.
Recent Articles
ESTIMATING RARE EVENT PROBABILITIES WITH STEIN VARIATIONAL GRADIENT DESCENT
Max Ehre, Iason Papaioannou, Daniel Straub
2026 Vol. 16 Issue 1 Pages 79-100
DOI: 10.1615/int.j.uncertaintyquantification.2025054946
A surrogate-Bayesian algorithm for scatterer shape identification from phaseless data
Erik Garcia Neefjes, Stuart Hawkins, Mahadevan Ganesh
2026
DOI: 10.1615/int.j.uncertaintyquantification.2026063852
OPTIMAL EXPERIMENTAL DESIGN CRITERIA FOR DATA-CONSISTENT INVERSION
Troy Butler, John D. Jakeman, Michael Pilosov et al.
2026 Vol. 16 Issue 2 Pages 75-100
DOI: 10.1615/int.j.uncertaintyquantification.2025060023
STATISTICAL ANALYSIS OF A COMPLEX PLASMA SYSTEM FROM A SMALL NUMBER OF SIMULATIONS
Gabriele La Valle, Tess Bernard, Roger Ghanem
2026 Vol. 16 Issue 2 Pages 29-45
DOI: 10.1615/int.j.uncertaintyquantification.2025060143
Copula Transformations for Data-Consistent Inversion
Troy Butler, Tianyi Jiang, João Silva et al.
2026
DOI: 10.1615/int.j.uncertaintyquantification.2026067190
A comparison of Markov Chain Monte Carlo algorithms for Bayesian inference of constitutive models
Aricia Rinkens, Rodrigo Lima de Souza e Silva, Erik Quaeghebeur et al.
2026
DOI: 10.1615/int.j.uncertaintyquantification.2026060967
LEARNING THE HYBRID SWITCHING DIFFUSION MODEL USING AN EXPECTATION-MAXIMIZATION ALGORITHM
Zheming Gou, Zhengtao Yao, Sergey Lototsky et al.
2026
DOI: 10.1615/int.j.uncertaintyquantification.2026064102
INFORMATION-GEOMETRY-BASED ROBUST BAYESIAN ANALYSIS
Donatien Rossat
2026 Vol. 16 Issue 2 Pages 47-73
DOI: 10.1615/int.j.uncertaintyquantification.2025061092
TRACTABLE INVERSE UNCERTAINTY QUANTIFICATION VIA PROBABILISTIC CIRCUITS FOR APPLIED MECHANICS
Maternus Herold, Jonas Siegfried Jehle, Matthias Gerdts
2026 Vol. 16 Issue 2 Pages 1-28
DOI: 10.1615/int.j.uncertaintyquantification.2025059325
ITERATIVE DATA-CONSISTENT INVERSION WITH MULTIPLE PUSH-FORWARD CONSTRAINTS
Tianyi Jiang, Troy Butler, Timothy Wildey et al.
2026 Vol. 16 Issue 3 Pages 27-60
DOI: 10.1615/int.j.uncertaintyquantification.2026063053
Articles retrieved from Crossref.
Green Journals | https://www.green-journals.com | info@green-journals.com
Printed: November 11, 2026 20:28