Kriging

Results: 505



#Item
31Statistics / Numerical analysis / Regression analysis / Design of experiments / Operations research / Mathematics / Linear algebra / Surrogate model / Mathematical optimization / Ensemble learning / Kriging / Economic model

BUILDING ENSEMBLES OF SURROGATES BY OPTIMAL CONVEX COMBINATION Martina Friese, Thomas Bartz-Beielstein SPOTSeven Lab, TH K¨ oln, Gummersbach, Germany ,

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Source URL: bioma.ijs.si

Language: English - Date: 2016-05-13 04:11:34
32

X-TMCMC: Adaptive kriging for Bayesian inverse modeling

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Source URL: cse-lab.ethz.ch

Language: English - Date: 2015-03-12 11:25:52
    33Mathematical analysis / Statistical theory / Probability theory / Normal distribution / Single-equation methods / Stable distributions / Estimation theory / Geostatistics / Gaussian process / Kriging / Linear regression / Bayesian linear regression

    Gaussian Processes for Machine Learning

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    Source URL: www.gaussianprocess.org

    Language: English
    34

    Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Y¨ucesan, eds. COMMON RANDOM NUMBERS AND STOCHASTIC KRIGING Xi Chen Bruce Ankenman

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    Source URL: www.informs-sim.org

    Language: English - Date: 2010-11-15 07:23:44
      35

      Network Kriging Eric D. Kolaczyk Department of Mathematics and Statistics Boston University 111 Cummington Street

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      Source URL: vw.indiana.edu

      Language: English - Date: 2006-04-16 09:06:42
        36

        STOCHASTIC KRIGING FOR CONDITIONAL VALUE-AT-RISK AND ITS SENSITIVITIES

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        Source URL: www.informs-sim.org

        Language: English - Date: 2013-05-21 09:12:00
          37

          IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, VOL. 6, NO. 3, JUNEImproving Temporal Coverage of the SWOT Mission Using Spatiotemporal Kriging

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          Source URL: swot.jpl.nasa.gov

          Language: English - Date: 2015-01-02 19:22:05
            38

            7 The Effects of Common Random Numbers on Stochastic Kriging Metamodels XI CHEN, BRUCE E. ANKENMAN, and BARRY L. NELSON, Northwestern University

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            Source URL: users.iems.northwestern.edu

            Language: English - Date: 2012-09-09 19:48:16
              39Machine learning / Geostatistics / Nonparametric statistics / Gaussian process / Bayesian optimization / Kernel method / Kernel / Pattern recognition / Supervised learning / Kriging / Nonparametric regression / Reproducing kernel Hilbert space

              Gaussian Processes and Kernel Methods (G8325) Fall 2015 https://courseworks.columbia.edu John P. Cunningham

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              Source URL: stat.columbia.edu

              Language: English - Date: 2015-11-15 17:46:49
              40

              Proceedings of the 2010 Winter Simulation Conference B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Y¨ucesan, eds. THE INFLUENCE OF CORRELATION FUNCTIONS ON STOCHASTIC KRIGING METAMODELS Wei Xie

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              Source URL: www.informs-sim.org

              Language: English - Date: 2010-11-15 07:23:46
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