SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs
16 references·1 citing·33 second hop
Fast Prediction of Deterministic Functions Using Sparse Grid Experimental Designs (2014)Fast Prediction of Deterministic Function…Numerical Methods for Stochastic Computations: A Spectral Method Approach (2010)Numerical Methods for Stochas…Gaussian Predictive Process Models for Large Spatial Data Sets (2008)Gaussian Predictive Process M…Fixed Rank Kriging for Very Large Spatial Data Sets (2008)Fixed Rank Kriging for Very L…A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data (2008)A Sparse Grid Stochastic Coll…Covariance Tapering for Interpolation of Large Spatial Datasets (2006)Covariance Tapering for Inter…High-Order Collocation Methods for Differential Equations with Random Inputs (2005)High-Order Collocation Method…The Design and Analysis of Computer Experiments (2003)The Design and Analysis of Co…A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)A Comparison of Three Methods…Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments (1998)Orthogonal Column Latin Hyper…Exploratory designs for computational experiments (1995)Exploratory designs for compu…Orthogonal Array-Based Latin Hypercubes (1993)Orthogonal Array-Based Latin …Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction (1993)Bayesian Design and Analysis …A Bayesian Analysis of Kriging (1993)A Bayesian Analysis of KrigingBayesian design and analysis of computer experiments: Use of derivatives in surface prediction (1991)Bayesian design and analysis …Design and Analysis of Computer Experiments (1989)Design and Analysis of Comput…Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)Comparison of Three Methods f…A Bayesian optimization approach to find Nash equilibria (2018)A Bayesian optimization appro…Statistics for Spatial Data (1993)Statistics for Spatial Data, Revised Edition. (1994)Model-Based Geostatistics (1998)Dimension Reduction and Alleviation of Confounding for Spatial Generalized Linear Mixed Models (2012)Spatio-temporal modeling of particulate matter concentration through the SPDE approach (2012)STATISTICS FOR SPATIAL DATA (1992)Improving the performance of predictive process modeling for large datasets (2008)Hierarchical Modeling and Analysis for Spatial Data (2014)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (1979)An efficient algorithm for constructing optimal design of computer experiments (2004)Choosing the Sample Size of a Computer Experiment: A Practical Guide (2009)Stochastic Finite Elements: A Spectral Approach (1991)The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations (2002)Uncertainty Quantification and Polynomial Chaos Techniques in Computational Fluid Dynamics (2008)DAKOTA : a multilevel parallel object-oriented framework for design optimization, parameter estimation, uncertainty quantification, and sensitivity analysis. Version 5.0, user's manual. (2010)Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (2018)Large Sample Properties of Simulations Using Latin Hypercube Sampling (1987)A Stochastic Collocation Method for Elliptic Partial Differential Equations with Random Input Data (2007)Adaptive sparse polynomial chaos expansion based on least angle regression (2010)Multilevel Monte Carlo methods and applications to elliptic PDEs with random coefficients (2011)Stochastic finite element methods for partial differential equations with random input data (2014)Chaospy: An open source tool for designing methods of uncertainty quantification (2015)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index (2009)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)A review of techniques for parameter sensitivity analysis of environmental models (1994)Importance measures in global sensitivity analysis of nonlinear models (1996)A distribution-free approach to inducing rank correlation among input variables (1982)Factorial Sampling Plans for Preliminary Computational Experiments (1991)Uniform Design: Theory and Application (2000)An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach (2011)A Review on Global Sensitivity Analysis Methods (2015)Sensitivity analysis: A review of recent advances (2015)
this work references cited by second hop

References

  • 2000A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code8,233 cited
  • 1989Design and Analysis of Computer Experiments6,958 cited
  • 1979Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code3,238 cited
  • 2003The Design and Analysis of Computer Experiments2,204 cited
  • 2005High-Order Collocation Methods for Differential Equations with Random Inputs1,522 cited
  • 1995Exploratory designs for computational experiments1,202 cited
  • 2010Numerical Methods for Stochastic Computations: A Spectral Method Approach1,107 cited
  • 2008Gaussian Predictive Process Models for Large Spatial Data Sets999 cited
  • 2008Fixed Rank Kriging for Very Large Spatial Data Sets998 cited
  • 2008A Sparse Grid Stochastic Collocation Method for Partial Differential Equations with Random Input Data942 cited
  • 1993Orthogonal Array-Based Latin Hypercubes859 cited
  • 2006Covariance Tapering for Interpolation of Large Spatial Datasets739 cited
  • 1993A Bayesian Analysis of Kriging585 cited
  • 1998Orthogonal Column Latin Hypercubes and Their Application in Computer Experiments461 cited
  • 1993Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

299 cited
  • 1991Bayesian design and analysis of computer experiments: Use of derivatives in surface prediction276 cited
  • Cited by

    • 2018A Bayesian optimization approach to find Nash equilibria29 cited