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Choosing a Metamodel of a Simulation Model for Uncertainty Quantification
Tiago M. de Carvalho
*
, Joost van Rosmalen
, Harold B. Wolff
,
Hendrik Koffijberg
, Veerle M.H. Coupé
*
Corresponding author for this work
Health Technology & Services Research
TechMed Centre
Research output
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Contribution to journal
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Article
›
Academic
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peer-review
11
Citations (Scopus)
337
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Computer Science
Models
100%
Quantification
100%
Simulation Model
100%
Artificial Neural Network
80%
Prediction Accuracy
60%
Simulation Mode
60%
Individual Level
60%
Accuracy
60%
State Transition
60%
Gaussian Process
60%
Case Study
40%
Parameter Model
40%
Evaluation
20%
Simulation Study
20%
Metamodeling
20%
Sufficient Number
20%
Computer
20%
gaussian process model
20%
Mathematics
Simulation Model
100%
Uncertainty Quantification
100%
Artificial Neural Network
66%
Linear Models
66%
Kriging
66%
Prediction
50%
State Transition
50%
Parameters
33%
Computational
33%
Worst Case
16%
Characteristics
16%
Confidence Interval
16%
Sufficient Number
16%
Computer Code
16%
Simulation Study
16%
Psychology
Regression
100%
Linear Model
80%
Neural Network
80%
Generalized Additive Model
40%
Case Study
40%
Health
40%
Computational
40%
Public Health
20%
Treatment
20%
Evaluation
20%
Medicine and Dentistry
Life History
16%
Earth and Planetary Sciences
Health Policy
7%