International Journal for Uncertainty Quantification
Erscheint 6 Ausgaben pro Jahr
ISSN Druckformat: 2152-5080
ISSN Online: 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
Volumen 6, 2016 Ausgabe 4
DOI: 10.1615/Int.J.UncertaintyQuantification.v6.i4
A PRIORI ERROR ANALYSIS OF STOCHASTIC GALERKIN PROJECTION SCHEMES FOR RANDOMLY PARAMETRIZED ORDINARY DIFFERENTIAL EQUATIONS
pp. 287-312
DOI: 10.1615/Int.J.UncertaintyQuantification.2016015843
SURROGATE MODELING FOR STOCHASTIC DYNAMICAL SYSTEMS BY COMBINING NONLINEAR AUTOREGRESSIVE WITH EXOGENOUS INPUT MODELS AND POLYNOMIAL CHAOS EXPANSIONS
pp. 313-339
DOI: 10.1615/Int.J.UncertaintyQuantification.2016016603
TRANSITIONAL ANNEALED ADAPTIVE SLICE SAMPLING FOR GAUSSIAN PROCESS HYPER-PARAMETER ESTIMATION
pp. 341-359
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018590
NOVEL SINGLE-VALUED NEUTROSOPHIC AGGREGATED OPERATORS UNDER FRANK NORM OPERATION AND ITS APPLICATION TO DECISION-MAKING PROCESS
pp. 361-375
DOI: 10.1615/Int.J.UncertaintyQuantification.2016018603
Neueste Ausgabe
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
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Stochastic Galerkin method and port-Hamiltonian form for linear first-order ordinary differential equations
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