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.

• On the interface between nested designs and the multi-step interpolator (Q2063886) (← links)
• A surrogate-based approach to nonlinear, non-Gaussian joint state-parameter data assimilation (Q2072658) (← links)
• Analyzing stochastic computer models: a review with opportunities (Q2075795) (← links)
• Adaptive Gaussian process with PCA for prediction of complex dispersion relations for periodic structures (Q2077541) (← links)
• Uncertainty quantification of a computer model for binary black hole formation (Q2078270) (← links)
• Learning ``best'' kernels from data in Gaussian process regression. With application to aerodynamics (Q2083686) (← links)
• Cylinder drag minimization through wall actuation: a Bayesian optimization approach (Q2083875) (← links)
• Sequential design strategy for kriging and cokriging-based machine learning in the context of reservoir history-matching (Q2085079) (← links)
• Thermal modeling and uncertainty quantification of tool for automated garment assembly (Q2086047) (← links)
• Batch sequential adaptive designs for global optimization (Q2089024) (← links)
• An ensemble model-based method for estimating failure probability function with application in reliability-based optimization (Q2109623) (← links)
• Hierarchical sparse Cholesky decomposition with applications to high-dimensional spatio-temporal filtering (Q2114043) (← links)
• Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder (Q2122694) (← links)
• Augmented Gaussian random field: theory and computation (Q2129158) (← links)
• Clustered active-subspace based local Gaussian process emulator for high-dimensional and complex computer models (Q2134712) (← links)
• Exploring dynamical properties of a type 1 diabetes model using sensitivity approaches (Q2146697) (← links)
• A new and flexible design construction for orthogonal arrays for modern applications (Q2148984) (← links)
• Adaptive design for Gaussian process regression under censoring (Q2154177) (← links)
• Batch-sequential design and heteroskedastic surrogate modeling for delta smelt conservation (Q2154181) (← links)
• Quantifying uncertainty with ensembles of surrogates for blackbox optimization (Q2162525) (← links)
• Ice model calibration using semicontinuous spatial data (Q2170447) (← links)
• Stochastic field representation using bi-fidelity combination of proper orthogonal decomposition and kriging (Q2179204) (← links)
• Asymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processes (Q2180085) (← links)
• Deterministic global derivative-free optimization of black-box problems with bounded Hessian (Q2182783) (← links)
• Applying kriging proxies for Markov chain Monte Carlo in reservoir simulation (Q2192848) (← links)
• A fast particle-based approach for calibrating a 3-D model of the Antarctic ice sheet (Q2194450) (← links)
• Prediction for computer experiments with both quantitative and qualitative factors (Q2197626) (← links)
• An efficient dimension reduction for the Gaussian process emulation of two nested codes with functional outputs (Q2203403) (← links)
• A distance-based method for spatial prediction in the presence of trend (Q2209870) (← links)
• Kriging-sparse polynomial dimensional decomposition surrogate model with adaptive refinement (Q2214537) (← links)
• A concurrent implementation of the surrogate management framework with application to cardiovascular shape optimization (Q2218904) (← links)
• An efficient method combining active learning kriging and Monte Carlo simulation for profust failure probability (Q2219160) (← links)
• Physics-informed cokriging: a Gaussian-process-regression-based multifidelity method for data-model convergence (Q2222351) (← links)
• Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments (Q2222548) (← links)
• A comparative study on surrogate models for SAEAs (Q2228425) (← links)
• Dynamic simulation metamodeling using Mars: a case of radar simulation (Q2228788) (← links)
• High-fidelity hurricane surge forecasting using emulation and sequential experiments (Q2233188) (← links)
• A variable-fidelity hybrid surrogate approach for quantifying uncertainties in the nonlinear response of braided composites (Q2237005) (← links)
• A stochastic process discretization method combing active learning Kriging model for efficient time-variant reliability analysis (Q2237485) (← links)
• Uncertainty quantification of microstructure variability and mechanical behavior of additively manufactured lattice structures (Q2237791) (← links)
• Multi-fidelity surrogate-based optimization for decomposed buffer allocation problems (Q2241996) (← links)
• Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger (Q2245306) (← links)
• Minimization of accident severity index in concrete barrier designs using an ensemble of radial basis function metamodel-based optimization (Q2245704) (← links)
• Coupling of homotopy perturbation method and kriging surrogate model for an efficient fuzzy linear buckling analysis: application to additively manufactured lattice structures (Q2247305) (← links)
• Kriging-based interpolatory subdivision schemes (Q2252151) (← links)
• Contour estimation via two fidelity computer simulators under limited resources (Q2259100) (← links)
• A Kriging approach to the analysis of climate model experiments (Q2259972) (← links)
• Estimating the risk of a crop epidemic from coincident spatio-temporal processes (Q2260143) (← links)
• A weighted sequential sampling method considering influences of sample qualities in input and output parameter spaces for global optimization (Q2260694) (← links)
• Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models (Q2261036) (← links)