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International Journal for Uncertainty Quantification

インパクトファクター: 4.911
5年インパクトファクター: 3.179

Free Online Access

ISSN 印刷: 2152-5080
ISSN オンライン: 2152-5099

Current Year

巻 11, 2021 / 発行 4

DOI: 10.1615/Int.J.UncertaintyQuantification.v11.i4

Table of Contents:

AN EFFICIENT COMPUTATIONAL METHOD FOR PARAMETER IDENTIFICATION IN THE CONTEXT OF RANDOM SET THEORY VIA BAYESIAN INVERSION
1-18 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020031869
ERROR CONTROL IN THE NUMERICAL POSTERIOR DISTRIBUTION IN THE BAYESIAN UQ ANALYSIS OF A SEMILINEAR EVOLUTION PDE
19-39 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2020033516
EXPLICIT ESTIMATION OF DERIVATIVES FROM DATA AND DIFFERENTIAL EQUATIONS BY GAUSSIAN PROCESS REGRESSION
41-57 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2021034382
ROBUST IMPORTANCE SAMPLING FOR BAYESIAN MODEL CALIBRATION WITH SPATIOTEMPORAL DATA
59-80 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2021033499
ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS
81-94 ページ
DOI: 10.1615/Int.J.UncertaintyQuantification.2021034623
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