Pages that link to "Item:Q1595979"

The following pages link to Design and analysis of computer experiments. With comments and a rejoinder by the authors (Q1595979):

Displaying 50 items.

• Theoretical investigations of the new cokriging method for variable-fidelity surrogate modeling. Well-posedness and maximum likelihood training. (Q1756916) (← links)
• Simulated variogram-based error inspection of manufactured parts (Q1757251) (← links)
• Efficient asymmetrical extended designs under wrap-around \(L_2\)-discrepancy (Q1757690) (← links)
• Statistics in atmospheric science (Q1764311) (← links)
• Detecting stagewise outliers in hierarchical Bayesian linear models of repeated measures data (Q1768093) (← links)
• Robustness of kriging when interpolating in random simulation with heterogeneous variances: some experiments (Q1771371) (← links)
• A critical appraisal of design of experiments for uncertainty quantification (Q1787391) (← links)
• Analysis methods for computer experiments: how to assess and what counts? (Q1790313) (← links)
• An improved approach for estimating the hyperparameters of the Kriging model for high-dimensional problems through the partial least squares method (Q1793472) (← links)
• Gaussian functional regression for linear partial differential equations (Q1800194) (← links)
• Sampling designs for estimation of a random process (Q1802318) (← links)
• Coherent dispersion criteria for optimal experimental design (Q1807179) (← links)
• Estimating structured correlation matrices in smooth Gaussian random field models. (Q1848806) (← links)
• Small response surface designs for metamodel estimation (Q1869483) (← links)
• Workshop on statistical approaches for the evaluation of complex computer models (Q1872604) (← links)
• Quasi-regression with shrinkage (Q1873015) (← links)
• Response surface methodology's steepest ascent and step size revisited (Q1876165) (← links)
• Surrogates for numerical simulations; optimization of eddy-promoter heat exchangers (Q1913240) (← links)
• Optimal designs for approximating the path of a stochastic process (Q1918137) (← links)
• Calibration of computer models with multivariate output (Q1927177) (← links)
• The effect of the nugget on Gaussian process emulators of computer models (Q1927203) (← links)
• Gaussian process modeling with inequality constraints (Q1931810) (← links)
• Generation of a cokriging metamodel using a multiparametric strategy (Q1934504) (← links)
• Composite Gaussian process models for emulating expensive functions (Q1940022) (← links)
• Simultaneous Kriging-based estimation and optimization of mean response (Q1941025) (← links)
• A discrete adapted hierarchical basis solver for radial basis function interpolation (Q1944014) (← links)
• Inverse dispersion for an unknown number of sources: model selection and uncertainty analysis (Q1954386) (← links)
• A Bayesian approach to computing posterior distribution and quantile functions (Q1969148) (← links)
• A data-driven framework for sparsity-enhanced surrogates with arbitrary mutually dependent randomness (Q1987969) (← links)
• Systems of Gaussian process models for directed chains of solvers (Q1988026) (← links)
• Unified uncertainty analysis under probabilistic, evidence, fuzzy and interval uncertainties (Q1988196) (← links)
• Accelerating MCMC via Kriging-based adaptive independent proposals and delayed rejection (Q1988268) (← links)
• Real-time estimation error-guided active learning kriging method for time-dependent reliability analysis (Q1988632) (← links)
• Robust Gaussian stochastic process emulation (Q1991689) (← links)
• Emulating dynamic non-linear simulators using Gaussian processes (Q2002727) (← links)
• Design and analysis of computer experiments (Q2006872) (← links)
• Computer experiments: a review (Q2006874) (← links)
• Optimal Latin hypercube designs for the Kullback-Leibler criterion (Q2006878) (← links)
• Comparing and generating Latin hypercube designs in kriging models (Q2006879) (← links)
• Modelling of a thermomechanically coupled forming process based on functional outputs from a finite element analysis and from experimental measurements (Q2006885) (← links)
• Machine-learning in optimization of expensive black-box functions (Q2012143) (← links)
• Expected improvement for expensive optimization: a review (Q2022176) (← links)
• Global optimization via inverse distance weighting and radial basis functions (Q2023666) (← links)
• Addressing state space multicollinearity in solving an ozone pollution dynamic control problem (Q2029053) (← links)
• Estimation of a density using an improved surrogate model (Q2044316) (← links)
• Global optimization based on active preference learning with radial basis functions (Q2051251) (← links)
• Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
• Gaussian process regression constrained by boundary value problems (Q2060077) (← links)
• Local approximate Gaussian process regression for data-driven constitutive models: development and comparison with neural networks (Q2060125) (← links)
• Deterministic global optimization with Gaussian processes embedded (Q2062323) (← links)