国际不确定性的量化期刊
每年出版 6 期
ISSN 打印: 2152-5080
ISSN 在线: 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
卷 4, 2014 册 2
DOI: 10.1615/Int.J.UncertaintyQuantification.v4.i2
ENABLING THE ANALYSIS OF FINITE ELEMENT SIMULATION BUNDLES
pp. 95-110
DOI: 10.1615/Int.J.UncertaintyQuantification.2013005436
DATA-FREE INFERENCE OF UNCERTAIN PARAMETERS IN CHEMICAL MODELS
pp. 111-132
DOI: 10.1615/Int.J.UncertaintyQuantification.2013005679
GAUSSIAN PROCESS ADAPTIVE IMPORTANCE SAMPLING
pp. 133-149
DOI: 10.1615/Int.J.UncertaintyQuantification.2013006330
INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY-INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 1: BAYESIAN INFERENCE OF FIXED MODEL FORMS
pp. 151-170
DOI: 10.1615/Int.J.UncertaintyQuantification.2014008153
INFERENCE AND UNCERTAINTY PROPAGATION OF ATOMISTICALLY INFORMED CONTINUUM CONSTITUTIVE LAWS, PART 2: GENERALIZED CONTINUUM MODELS BASED ON GAUSSIAN PROCESSES
pp. 171-184
DOI: 10.1615/Int.J.UncertaintyQuantification.2014008154
最新一期
将发表的论文
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