International Journal for Uncertainty Quantification
年間 6 号発行
ISSN 印刷: 2152-5080
ISSN オンライン: 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
巻 9, 2019 発行 3
SPECIAL ISSUE: CELEBRATING THE ESTABLISHMENT OF A NEW UQ SOCIETY IN CHINA PART 2
GUEST EDITOR: TAO ZHOU
DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i3
PREFACE: A SPECIAL ISSUE CELEBRATING A NEW UQ ACTIVITY GROUP IN CHINA
v pages
DOI: 10.1615/Int.J.UncertaintyQuantification.v9.i3.10
AN ADAPTIVE MULTIFIDELITY PC-BASED ENSEMBLE KALMAN INVERSION FOR INVERSE PROBLEMS
pp. 205-220
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029059
A GENERAL FRAMEWORK FOR ENHANCING SPARSITY OF GENERALIZED POLYNOMIAL CHAOS EXPANSIONS
pp. 221-243
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027864
VARIABLE-SEPARATION BASED ITERATIVE ENSEMBLE SMOOTHER FOR BAYESIAN INVERSE PROBLEMS IN ANOMALOUS DIFFUSION REACTION MODELS
pp. 245-273
DOI: 10.1615/Int.J.UncertaintyQuantification.2019028759
AN EFFICIENT NUMERICAL METHOD FOR UNCERTAINTY QUANTIFICATION IN CARDIOLOGY MODELS
pp. 275-294
DOI: 10.1615/Int.J.UncertaintyQuantification.2019027857
USING PARALLEL MARKOV CHAIN MONTE CARLO TO QUANTIFY UNCERTAINTIES IN GEOTHERMAL RESERVOIR CALIBRATION
pp. 295-310
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029282
A WEIGHT-BOUNDED IMPORTANCE SAMPLING METHOD FOR VARIANCE REDUCTION
pp. 311-319
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029511
最新号
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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