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Generalized Latin Hypercube Design for Computer Experiments
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A study on algorithms for optimization of Latin hypercubes
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Uniform Design: Theory and Application
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Robust Designs Based on the Infinitesimal Approach
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A minimum bias Latin hypercube design
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Centered $L_2$-discrepancy of random sampling and Latin hypercube design, and construction of uniform designs
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A generalized discrepancy and quadrature error bound
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Maximum Entropy Sampling and Optimal Bayesian Experimental Design
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Bayesian Calibration of Computer Models
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Latin Hyperrectangle Sampling for Computer Experiments
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Computer Model Calibration Using High-Dimensional Output
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A New Approach to Optimal Design for Linear Models With Correlated Observations
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Diagnostics for Gaussian Process Emulators
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Design and Modeling for Computer Experiments
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Design and Analysis of Computer Experiments
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A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code
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