The following pages link to DiceKriging (Q19800):
Displaying 50 items.
- Batch sequential adaptive designs for global optimization (Q2089024) (← links)
- Geometrically consistent aerodynamic optimization using an isogeometric discontinuous Galerkin method (Q2107212) (← links)
- A comparative study on surrogate models for SAEAs (Q2228425) (← links)
- Novel method for a posteriori uncertainty quantification in wildland fire spread simulation (Q2241771) (← links)
- Rapid design of metamaterials via multitarget Bayesian optimization (Q2245155) (← links)
- Kriging metamodels-based multi-objective shape optimization applied to a multi-scale heat exchanger (Q2245306) (← links)
- Adaptive Bayesian nonparametric regression using a kernel mixture of polynomials with application to partial linear models (Q2297237) (← links)
- On the choice of the low-dimensional domain for global optimization via random embeddings (Q2301180) (← links)
- Global fitting of the response surface via estimating multiple contours of a simulator (Q2301224) (← links)
- Data-driven stochastic inversion via functional quantization (Q2302505) (← links)
- Robust additive Gaussian process models using reference priors and cut-off-designs (Q2307104) (← links)
- Jointly robust prior for Gaussian stochastic process in emulation, calibration and variable selection (Q2316987) (← links)
- Sparse kernel deep stacking networks (Q2319474) (← links)
- Maximum likelihood estimation for Gaussian processes under inequality constraints (Q2323946) (← links)
- Multivariate versus univariate Kriging metamodels for multi-response simulation models (Q2356270) (← links)
- Efficient global optimization algorithm assisted by multiple surrogate techniques (Q2392755) (← links)
- Gaussian process emulators for computer experiments with inequality constraints (Q2399826) (← links)
- Conditional optimization of a noisy function using a kriging metamodel (Q2416583) (← links)
- Properties and comparison of some kriging sub-model aggregation methods (Q2676512) (← links)
- (Q2934110) (← links)
- Sequential Design and Spatial Modeling for Portfolio Tail Risk Measurement (Q3122061) (← links)
- Warped Gaussian Processes and Derivative-Based Sequential Designs for Functions with Heterogeneous Variations (Q3176256) (← links)
- Polar Gaussian Processes and Experimental Designs in Circular Domains (Q3179317) (← links)
- A Function Emulation Approach for Doubly Intractable Distributions (Q3391448) (← links)
- Universal Prediction Distribution for Surrogate Models (Q4636353) (← links)
- GAUSSIAN PROCESS MODELS FOR MORTALITY RATES AND IMPROVEMENT FACTORS (Q4691257) (← links)
- Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design (Q4960979) (← links)
- Thrust-versus-endurance trade-off optimization in swimming (Q5059379) (← links)
- Modeling Nonstationary Extreme Dependence With Stationary Max-Stable Processes and Multidimensional Scaling (Q5066459) (← links)
- APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
- Statistical Tests for Cross-Validation of Kriging Models (Q5084672) (← links)
- Gaussian Processes with Input Location Error and Applications to the Composite Parts Assembly Process (Q5097839) (← links)
- Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC (Q5117940) (← links)
- Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals (Q5120645) (← links)
- Faster Kriging: Facing High-Dimensional Simulators (Q5130493) (← links)
- Deep learning for ranking response surfaces with applications to optimal stopping problems (Q5139253) (← links)
- Semi-parametric estimation of the variogram scale parameter of a Gaussian process with stationary increments (Q5140346) (← links)
- Computing first-order sensitivity indices with contribution to the sample mean plot (Q5220792) (← links)
- Emulating Satellite Drag from Large Simulation Experiments (Q5237174) (← links)
- Sequential Design for Ranking Response Surfaces (Q5269860) (← links)
- Comparison of Surrogate-Based Uncertainty Quantification Methods for Computationally Expensive Simulators (Q5269870) (← links)
- Estimation of the Derivative-Based Global Sensitivity Measures Using a Gaussian Process Metamodel (Q5741198) (← links)
- Sequential Design with Mutual Information for Computer Experiments (MICE): Emulation of a Tsunami Model (Q5741199) (← links)
- Latin hypercube designs based on strong orthogonal arrays and Kriging modelling to improve the payload distribution of trains (Q5861530) (← links)
- Cross-Validation--based Adaptive Sampling for Gaussian Process Models (Q5862906) (← links)
- Global optimization for mixed categorical-continuous variables based on Gaussian process models with a randomized categorical space exploration step (Q5882394) (← links)
- Bayesian Estimation and Optimization for Learning Sequential Regularized Portfolios (Q5886361) (← links)
- Simulation optimization: a review of algorithms and applications (Q5919176) (← links)
- Multiobjective optimization using Gaussian process emulators via stepwise uncertainty reduction (Q5963824) (← links)
- Comments on: ``On active learning methods for manifold data'' (Q5970848) (← links)
