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International Journal for Uncertainty Quantification
Главный редактор: Habib N. Najm (open in a new tab)
Ассоциированный редакторs: Dongbin Xiu (open in a new tab) Tao Zhou (open in a new tab)
Редактор-основатель: Nicholas Zabaras (open in a new tab)

Выходит 6 номеров в год

ISSN Печать: 2152-5080

ISSN Онлайн: 2152-5099

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 1.9 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.5 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.0007 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.5 SJR: 0.584 SNIP: 0.676 CiteScore™:: 3 H-Index: 25

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AN APPROXIMATION THEORETIC PERSPECTIVE OF SOBOL' INDICES WITH DEPENDENT VARIABLES

Том 8, Выпуск 6, 2018, pp. 483-493
DOI: 10.1615/Int.J.UncertaintyQuantification.2018026498
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Краткое описание

The Sobol' indices are a recognized tool in global sensitivity analysis. When the uncertain variables in a model are statistically independent, the Sobol' indices may be easily interpreted and utilized. However, their interpretation and utility is more challenging with statistically dependent variables. This article develops an approximation theoretic perspective to interpret Sobol' indices in the presence of variable dependencies. The value of this perspective is demonstrated in the context of dimension reduction, a common application of the Sobol' indices. Theoretical analysis and illustrative examples are provided.

ЦИТИРОВАНО В
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  2. Hart J. L., Gremaud P. A., David T., Global Sensitivity Analysis of High-Dimensional Neuroscience Models: An Example of Neurovascular Coupling, Bulletin of Mathematical Biology, 81, 6, 2019. Crossref

  3. Alexanderian Alen, Gremaud Pierre A., Smith Ralph C., Variance-based sensitivity analysis for time-dependent processes, Reliability Engineering & System Safety, 196, 2020. Crossref

  4. Zahm Olivier, Constantine Paul G., Prieur Clémentine, Marzouk Youssef M., Gradient-Based Dimension Reduction of Multivariate Vector-Valued Functions, SIAM Journal on Scientific Computing, 42, 1, 2020. Crossref

  5. Gayrard Emeline, Chauvière Cédric, Djellout Hacène, Bonnet Pierre, Zappa Don-Pierre, Global sensitivity analysis for stochastic processes with independent increments, Probabilistic Engineering Mechanics, 62, 2020. Crossref

  6. Hoyt Christopher, Owen Art B., Efficient Estimation of the ANOVA Mean Dimension, with an Application to Neural Net Classification, SIAM/ASA Journal on Uncertainty Quantification, 9, 2, 2021. Crossref

  7. Lu Xuefei, Borgonovo Emanuele, Global sensitivity analysis in epidemiological modeling, European Journal of Operational Research, 304, 1, 2023. Crossref

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