International Journal for Uncertainty Quantification
Выходит 6 номеров в год
ISSN Печать: 2152-5080
ISSN Онлайн: 2152-5099
IF:
1.7
5-Year IF:
1.9
Immediacy Index:
0.5
Eigenfactor:
0.0007
JCI:
0.5
SJR:
0.584
SNIP:
0.676
CiteScore™::
3
H-Index:
25
Indexed in
Том 11, 2021 Выпуск 6
DOI: 10.1615/Int.J.UncertaintyQuantification.v11.i6
GLOBAL SENSITIVITY ANALYSIS MEASURES BASED ON STATISTICAL DISTANCES
pp. 1-30
DOI: 10.1615/Int.J.UncertaintyQuantification.2021035424
METHODS FOR APPROXIMATING DISTRIBUTION OF UNKNOWN PARAMETER ESTIMATES WITH APPLICATION IN MATERIAL THERMOPHYSICS
pp. 31-47
DOI: 10.1615/Int.J.UncertaintyQuantification.2021033482
SCALABLE GAUSSIAN PROCESS ANALYSIS FOR IMPLICIT PHYSICS-BASED COVARIANCE MODELS
pp. 49-81
DOI: 10.1615/Int.J.UncertaintyQuantification.2021036657
PDE/PDF-INFORMED ADAPTIVE SAMPLING FOR EFFICIENT NONINTRUSIVE SURROGATE MODELING
pp. 83-108
DOI: 10.1615/Int.J.UncertaintyQuantification.2021034265
Последний выпуск
MODEL ERROR ESTIMATION USING PEARSON SYSTEM WITH APPLICATION TO NONLINEAR WAVES IN COMPRESSIBLE FLOWS
DECISION THEORETIC BOOTSTRAPPING
UNCERTAINTY QUANTIFICATION AND GLOBAL SENSITIVITY ANALYSIS OF SEISMIC FRAGILITY CURVES USING KRIGING
STOCHASTIC GALERKIN METHOD AND PORT-HAMILTONIAN FORM FOR LINEAR FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS
Статьи, принятые к публикации
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
SENSITIVITY ANALYSES OF A MULTI-PHYSICS LONG-TERM CLOGGING MODEL FOR STEAM GENERATORS
Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
Analysis of the Challenges in Developing Sample-Based Multi-fidelity Estimators for Non-deterministic Models