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Moving Least Squares Regression for High-Dimensional Stochastic Simulation Metamodeling.
Peter Salemi
Barry L. Nelson
Jeremy Staum
Published in:
ACM Trans. Model. Comput. Simul. (2016)
Keyphrases
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stochastic simulation
high dimensional
simple examples
bayesian analysis
belief networks
low dimensional
ordinary differential equations
metamodel
feature space
high dimensional data
high dimensionality
dimensionality reduction
data sets
microarray data