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Портал Begell Электронная Бибилиотека e-Книги Журналы Справочники и Сборники статей Коллекции
International Journal for Uncertainty Quantification
Импакт фактор: 3.259 5-летний Импакт фактор: 2.547 SJR: 0.531 SNIP: 0.8 CiteScore™: 1.52

ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099

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International Journal for Uncertainty Quantification

Купить выпуск $214.00 Том 9, 2019 Выпуск 4

Содержание:

A MULTILEVEL APPROACH FOR SEQUENTIAL INFERENCE ON PARTIALLY OBSERVED DETERMINISTIC SYSTEMS
Ajay Jasra, Kody J.H. Law, Yi Xu
pages 321-330
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027245
PIG PROCESS: JOINT MODELING OF POINT AND INTEGRAL RESPONSES IN COMPUTER EXPERIMENTS
Heng Su, Rui Tuo, C. F. Jeff Wu
pages 331-349
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027823
SURROGATE MODELING OF STOCHASTIC FUNCTIONS−APPLICATION TO COMPUTATIONAL ELECTROMAGNETIC DOSIMETRY
Soumaya Azzi, Yuanyuan Huang, Bruno Sudret, Joe Wiart
pages 351-363
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029103
EMBEDDED MODEL ERROR REPRESENTATION FOR BAYESIAN MODEL CALIBRATION
Khachik Sargsyan, Xun Huan, Habib N. Najm
pages 365-394
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027384
WASSERSTEIN METRIC-DRIVEN BAYESIAN INVERSION WITH APPLICATIONS TO SIGNAL PROCESSING
Mohammad Motamed, Daniel Appelo
pages 395-414
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027745