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High-dimensional and higher-order multifidelity Monte Carlo estimators
A. Quaglino
*
, S. Pezzuto,
R. Krause
*
Corresponding author for this work
Applied Mathematics and Computational Science
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
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Dive into the research topics of 'High-dimensional and higher-order multifidelity Monte Carlo estimators'. Together they form a unique fingerprint.
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Mathematics
Optimal Strategy
100%
Monte Carlo
100%
Closed Form
50%
Reduced Model
50%
Variance
50%
Uncertainty Quantification
50%
Engineering
Model Fidelity
100%
Uncertainty Quantification
33%
Closed Form Expression
33%
Optimisation Problem
33%
General Strategy
33%
Scalar Quantity
33%
Selected Number
33%
Keyphrases
Multi-fidelity Monte Carlo
100%
Vector-valued Problems
50%
Generalized Estimators
50%