International Journal for Uncertainty Quantification
Publication de 6 numéros par an
ISSN Imprimer: 2152-5080
ISSN En ligne: 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
Volume 6, 2016 Numéro 3
DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i3
BAYESIAN NONPARAMETRIC GENERAL REGRESSION
pp. 195-213
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016055
EMPIRICAL ACCELERATION FUNCTIONS AND FUZZY INFORMATION
pp. 215-228
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016285
STOCHASTIC SAMPLING BASED BAYESIAN MODEL UPDATING WITH INCOMPLETE MODAL DATA
pp. 229-244
DOI: 10.1615/Int.J.UncertaintyQuantification.2016017194
A STOPPING CRITERION FOR ITERATIVE SOLUTION OF STOCHASTIC GALERKIN MATRIX EQUATIONS
pp. 245-269
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016463
FAST AND ACCURATE MODEL REDUCTION FOR SPECTRAL METHODS IN UNCERTAINTY QUANTIFICATION
pp. 271-286
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016646
Dernier numéro
Prochains articles
EXTREME LEARNING MACHINES FOR VARIANCE-BASED GLOBAL SENSITIVITY ANALYSIS
Application of global sensitivity analysis for identification of probabilistic design spaces
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