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Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs

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  • Kleijnen, J.P.C.

    (Tilburg University, School of Economics and Management)

  • van Beers, W.C.M.

    (Tilburg University, School of Economics and Management)

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  • Kleijnen, J.P.C. & van Beers, W.C.M., 2018. "Prediction for Big Data through Kriging : Small Sequential and One-Shot Designs," Other publications TiSEM b0504930-f518-44f7-908c-6, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:b0504930-f518-44f7-908c-6a147cef26bd
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    References listed on IDEAS

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    1. Kleijnen, J.P.C., 2017. "Design and Analysis of simulation experiments : Tutorial," Other publications TiSEM c7ad6b68-dcd6-4485-9ee2-0, Tilburg University, School of Economics and Management.
    2. Gramacy, Robert B., 2016. "laGP: Large-Scale Spatial Modeling via Local Approximate Gaussian Processes in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 72(i01).
    3. Jack P.C. Kleijnen, 2015. "Design and Analysis of Simulation Experiments," International Series in Operations Research and Management Science, Springer, edition 2, number 978-3-319-18087-8, December.
    4. Yuan, Jun & Nian, Victor & Su, Bin & Meng, Qun, 2017. "A simultaneous calibration and parameter ranking method for building energy models," Applied Energy, Elsevier, vol. 206(C), pages 657-666.
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    Cited by:

    1. Xuefei Lu & Alessandro Rudi & Emanuele Borgonovo & Lorenzo Rosasco, 2020. "Faster Kriging: Facing High-Dimensional Simulators," Operations Research, INFORMS, vol. 68(1), pages 233-249, January.

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