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.

• Experimental design for estimating the optimum point in a response surface (Q1321572) (← links)
• Optimal Latin-hypercube designs for computer experiments (Q1330212) (← links)
• Minimax distance designs in two-level factorial experiments (Q1347130) (← links)
• Quasi-regression (Q1347846) (← links)
• Global and mid-range function approximation for engineering optimization (Q1386664) (← links)
• Structural optimization using kriging approximation (Q1400693) (← links)
• Bayesian-validated computer-simulation surrogates for optimization and design: Error estimates and applications (Q1404656) (← links)
• The design and analysis of computer experiments. (Q1406613) (← links)
• Stationary Gaussian processes on the vertices of the \(k\)-cube. (Q1416466) (← links)
• On convergence of the uniform norms for Gaussian processes and linear approximation problems (Q1429122) (← links)
• An efficient algorithm for kriging approximation and optimization with large-scale sampling data. (Q1430665) (← links)
• A methodology for fitting and validating metamodels in simulation (Q1579457) (← links)
• Trust region model management in multidisciplinary design optimization (Q1593819) (← links)
• Optimizing color picture tubes by high-cost nonlinear programming (Q1598751) (← links)
• Analysis of variance designs for model output (Q1613792) (← links)
• Evaluating prediction uncertainty in simulation models (Q1613796) (← links)
• Mixtures of experts for understanding model discrepancy in dynamic computer models (Q1621328) (← links)
• \textit{KrigInv}: an efficient and user-friendly implementation of batch-sequential inversion strategies based on kriging (Q1621382) (← links)
• Optimal design for correlated processes with input-dependent noise (Q1621392) (← links)
• Efficient optimization of the likelihood function in Gaussian process modelling (Q1623425) (← links)
• Bounding rare event probabilities in computer experiments (Q1623705) (← links)
• A convex version of multivariate adaptive regression splines (Q1623730) (← links)
• Parameter estimation and sensitivity analysis in an agent-based model of \textit{Leishmania major} infection (Q1629043) (← links)
• Robust optimization of subsurface flow using polynomial chaos and response surface surrogates (Q1640356) (← links)
• Expected improvement based infill sampling for global robust optimization of constrained problems (Q1642975) (← links)
• Comparison of turbulence closures for optimized active control (Q1646696) (← links)
• Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: a dengue case study (Q1647581) (← links)
• Optimal operation policy for a sustainable recirculation aquaculture system for ornamental fish: simulation and response surface methodology (Q1652474) (← links)
• Emulation engines: choice and quantification of uncertainty for complex hydrological models (Q1654550) (← links)
• Complex variable moving Kriging interpolation for boundary meshless method (Q1654986) (← links)
• Population parametrization of costly black box models using iterations between SAEM algorithm and Kriging (Q1655366) (← links)
• Designing combined physical and computer experiments to maximize prediction accuracy (Q1658172) (← links)
• Convex relaxation for IMSE optimal design in random-field models (Q1658175) (← links)
• Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models (Q1660159) (← links)
• Reliability-based robust design optimization of structures considering uncertainty in design variables (Q1665215) (← links)
• Numerical study of the turbulent transonic interaction and transition location effect involving optimisation around a supercritical aerofoil (Q1671459) (← links)
• On the Bayesian calibration of computer model mixtures through experimental data, and the design of predictive models (Q1686611) (← links)
• Nested polynomial trends for the improvement of Gaussian process-based predictors (Q1691892) (← links)
• Reduced order models for many-query subsurface flow applications (Q1693620) (← links)
• Multi-fidelity meta-modeling for reservoir engineering - application to history matching (Q1693744) (← links)
• Gaussian processes for history-matching: application to an unconventional gas reservoir (Q1702365) (← links)
• Computer experiments with functional inputs and scalar outputs by a norm-based approach (Q1703821) (← links)
• Parameter estimation of complex mixed models based on meta-model approach (Q1703828) (← links)
• Computer experiment designs for accurate prediction (Q1704014) (← links)
• Efficient benchmarking of algorithm configurators via model-based surrogates (Q1707462) (← links)
• Theory on the rate equation of Michaelis-Menten type single-substrate enzyme catalyzed reactions (Q1708501) (← links)
• The design and analysis of computer experiments (Q1713520) (← links)
• Best linear unbiased prediction for multifidelity computer experiments (Q1721551) (← links)
• Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics (Q1727860) (← links)
• On estimation of surrogate models for multivariate computer experiments (Q1733118) (← links)