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Fast uncertainty reduction strategies relying on Gaussian process models
This work deals with sequential and batch-sequential evaluation strategies of real-valued functions under limited evaluation budget, using Gaussian process models.... -
Fast Update of Conditional Simulation Ensembles
Gaussian random fields (GRF) conditional simulation is a key ingredient in many spatial statistics problems for computing Monte-Carlo estimators and quantifying...
