Pages that link to "Item:Q1713520"

The following pages link to The design and analysis of computer experiments (Q1713520):

Displaying 50 items.

• Calibration for computer experiments with binary responses and application to cell adhesion study (Q149466) (← links)
• Follow-up experimental designs for computer models and physical processes (Q539835) (← links)
• Prediction of non-stationary response functions using a Bayesian composite Gaussian process (Q829711) (← links)
• The design and analysis of computer experiments. (Q1406613) (← links)
• Design and analysis of computer experiments. With comments and a rejoinder by the authors (Q1595979) (← links)
• Designing combined physical and computer experiments to maximize prediction accuracy (Q1658172) (← links)
• Computer experiment designs for accurate prediction (Q1704014) (← links)
• Sphere packing design for experiments with mixtures (Q2006756) (← links)
• Design and analysis of computer experiments (Q2006872) (← links)
• Computer experiments: a review (Q2006874) (← links)
• Expected improvement for expensive optimization: a review (Q2022176) (← links)
• Stochastic optimization with adaptive restart: a framework for integrated local and global learning (Q2022223) (← links)
• Locally induced Gaussian processes for large-scale simulation experiments (Q2058747) (← links)
• Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation (Q2058770) (← links)
• Connecting U-type designs before and after level permutations and expansions (Q2063873) (← links)
• Constrained minimum energy designs (Q2066732) (← links)
• Bayesian optimization of functional output in inverse problems (Q2069152) (← 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)
• Effective model calibration via sensible variable identification and adjustment with application to composite fuselage simulation (Q2078752) (← links)
• Estimating functional parameters for understanding the impact of weather and government interventions on COVID-19 outbreak (Q2080764) (← links)
• Batch sequential adaptive designs for global optimization (Q2089024) (← links)
• A study of orthogonal array-based designs under a broad class of space-filling criteria (Q2105202) (← links)
• Generalized hierarchical expected improvement method based on black-box functions of adaptive search strategy (Q2109428) (← links)
• Sequential support points (Q2110342) (← links)
• Construction of column-orthogonal strong orthogonal arrays (Q2122828) (← links)
• A comparative study of machine learning models for predicting the state of reactive mixing (Q2128488) (← links)
• Calibration and prediction for the inexact SIR model (Q2130340) (← 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)
• Using nonregular designs to generate space-filling designs (Q2156819) (← links)
• Large-scale local surrogate modeling of stochastic simulation experiments (Q2157538) (← links)
• Construction of computer experiment designs using marked point processes (Q2211798) (← links)
• On maximin distance and nearly orthogonal Latin hypercube designs (Q2216956) (← links)
• Nonparametric estimation of probabilistic sensitivity measures (Q2302500) (← links)
• Optimization of expensive black-box problems via gradient-enhanced Kriging (Q2310272) (← links)
• Design and Analysis of Computational Experiments: Overview (Q3064515) (← links)
• Design and analysis of computer experiments when the output is highly correlated over the input space (Q3148216) (← links)
• 10 Kriging: methods and applications (Q3384281) (← links)
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• Gaussian Process Landmarking on Manifolds (Q5025781) (← links)
• Gaussian Process Landmarking for Three-Dimensional Geometric Morphometrics (Q5025782) (← links)
• Population Quasi-Monte Carlo (Q5057081) (← links)
• Two-scale interaction of wake and blockage effects in large wind farms (Q5058994) (← links)
• APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
• Statistical Tests for Cross-Validation of Kriging Models (Q5084672) (← links)
• Algorithmic construction of nearly column-orthogonal designs (Q5084755) (← links)