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Local Gaussian process approximation for large computer experiments
sequential design sequential updating active learning surrogate model emulator compactly supported covariance local kriging neighborhoods
2013/4/27
We provide a new approach to approximate emulation of large computer experiments. By focusing expressly on desirable properties of the predictive equations, we derive a family of local sequential desi...
Efficient Emulators of Computer Experiments Using Compactly Supported Correlation Functions, With an Application to Cosmology
Efficient Emulators Correlation Functions Cosmology
2011/7/19
Statistical emulators of computer simulators have proven to be useful in a variety of applications. The widely adopted model for emulator building, using a Gaussian process model with strictly positiv...
Estimation of rare events probabilities in computer experiments
computer experiments rare events Kriging importance sampling Bayesian estimates risk assessment with ghter aircraft
2011/6/16
We are interested in estimating probabilities of rare events in the context of com-
puter experiments. These rare events depend on the output of a physical model with
random input variables. Since t...
Screening and metamodeling of computer experiments with functional outputs. Application to thermal-hydraulic computations
Functional output Pressurized thermal shock transient
2010/10/19
To perform uncertainty, sensitivity or optimization analysis on scalar variables calculated by a cpu time expensive computer code, a widely accepted methodology consists in first identifying the most...
A new and flexible method for constructing designs for computer experiments
Cascading Latin hypercube Hadamard matrix Kroneck product orthogonal array
2010/10/14
We develop a new method for constructing "good" designs for computer experiments. The method derives its power from its basic structure that builds large designs using small designs. We specialize th...