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.

• Comparison of Gaussian process modeling software (Q65764) (← links)
• Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction (Q96359) (← links)
• A theoretical framework of the scaled Gaussian stochastic process in prediction and calibration (Q96361) (← links)
• Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior (Q97314) (← links)
• Searching for important factors in simulation models with many factors: Sequential bifurcation (Q97659) (← links)
• Multi-Resolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments (Q147162) (← links)
• Exploratory designs for computational experiments (Q150636) (← links)
• A generalized Gaussian process model for computer experiments with binary time series (Q153075) (← links)
• Posterior belief assessment: extracting meaningful subjective judgements from Bayesian analyses with complex statistical models (Q273644) (← links)
• Variable-fidelity modeling of structural analysis of assemblies (Q280989) (← links)
• Atomic force microscopy indentation and inverse analysis for non-linear viscoelastic identification of breast cancer cells (Q288948) (← links)
• GP-DEMO: differential evolution for multiobjective optimization based on Gaussian process models (Q319093) (← links)
• Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations (Q319103) (← links)
• Kriging of financial term-structures (Q323575) (← links)
• Multi-output separable Gaussian process: towards an efficient, fully Bayesian paradigm for uncertainty quantification (Q346358) (← links)
• Integrated experimental design and nonlinear optimization to handle computationally expensive models under resource constraints (Q367165) (← links)
• Numerical integration in statistical decision-theoretic methods for robust design optimization (Q373980) (← links)
• Application of an iterative global approximation technique to structural optimizations (Q374626) (← links)
• Subset selection from large datasets for kriging modeling (Q381304) (← links)
• Approximate global optimization with convexity estimation of response surface using Kriging method (Q381395) (← links)
• The application of gradient-only optimization methods for problems discretized using non-constant methods (Q381398) (← links)
• Survey of modeling and optimization strategies to solve high-dimensional design problems with computationally-expensive black-box functions (Q381435) (← links)
• Nested maximin Latin hypercube designs (Q381446) (← links)
• An efficient class of direct search surrogate methods for solving expensive optimization problems with CPU-time-related functions (Q381689) (← links)
• Inverse modelling of an aneurysm's stiffness using surrogate-based optimization and fluid-structure interaction simulations (Q381855) (← links)
• Efficient reliability analysis based on Bayesian framework under input variable and metamodel uncertainties (Q381867) (← links)
• Crashworthiness optimization of foam-filled tapered thin-walled structure using multiple surrogate models (Q381937) (← links)
• Conservative multi-objective optimization considering design robustness and tolerance: a quality engineering design approach (Q381946) (← links)
• Optimal design of interference fit assemblies subjected to fatigue loads: a sequential approximate multi-objective optimization approach (Q381966) (← links)
• Multi-output local Gaussian process regression: applications to uncertainty quantification (Q385889) (← links)
• Parameter tuning for a multi-fidelity dynamical model of the magnetosphere (Q386717) (← links)
• Estimating sensitivity indices based on Gaussian process metamodels with compactly supported correlation functions (Q389439) (← links)
• Surrogate-based modeling and dimension reduction techniques for multi-scale mechanics problems (Q399580) (← links)
• Fast dimension-reduced climate model calibration and the effect of data aggregation (Q400583) (← links)
• Projection array based designs for computer experiments (Q434561) (← links)
• On the use of second-order derivatives and metamodel-based Monte Carlo method for uncertainty estimation in aerodynamics (Q435642) (← links)
• Polynomial genetic programming for response surface modeling. II: Adaptive approximate models with probabilistic optimization problems (Q438483) (← links)
• A new sequential optimal sampling method for radial basis functions (Q440934) (← links)
• Expected improvement in efficient global optimization through bootstrapped Kriging (Q445325) (← links)
• Towards an adaptive POD/SVD surrogate model for aeronautic design (Q448165) (← links)
• Accurate emulators for large-scale computer experiments (Q449978) (← links)
• Optimal designs for Gaussian process models via spectral decomposition (Q460654) (← links)
• A hybrid spectral and metamodeling approach for the stochastic finite element analysis of structural dynamic systems (Q460849) (← links)
• On the Bayesian treed multivariate Gaussian process with linear model of coregionalization (Q473517) (← links)
• Algorithm runtime prediction: methods \& evaluation (Q490455) (← links)
• Process crystallographic simulation for biocompatible piezoelectric material design and generation (Q503895) (← links)
• Global optimization of general constrained grey-box models: new method and its application to constrained PDEs for pressure swing adsorption (Q506438) (← links)
• A kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points (Q506469) (← links)
• An efficient multi-objective PSO algorithm assisted by Kriging metamodel for expensive black-box problems (Q506477) (← links)
• A standardized distance-based index to assess the quality of space-filling designs (Q518233) (← links)