Sparse polynomial chaos expansion for universal stochastic kriging
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Publication:6556730
DOI10.1016/j.cam.2024.115794MaRDI QIDQ6556730
José Carlos García-Merino, Carmen Calvo-Jurado, Enrique García-Macías
Publication date: 17 June 2024
Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)
krigingstochastic simulationuncertainty quantificationpolynomial chaos expansionsurrogate modellingleast angle regression
Linear inference, regression (62Jxx) Design of statistical experiments (62Kxx) Probabilistic methods, stochastic differential equations (65Cxx)
Cites Work
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- Practical Heteroscedastic Gaussian Process Modeling for Large Simulation Experiments
- Adaptive sparse polynomial chaos expansion based on least angle regression
- A metamodel-assisted evolutionary algorithm for expensive optimization
- Sensitivity analysis and parameter identification of a time dependent constitutive model for rock salt
- Kriging metamodeling in simulation: a review
- An efficient methodology for modeling complex computer codes with Gaussian processes
- Interpolation of spatial data. Some theory for kriging
- The design and analysis of computer experiments.
- Some well-behaved estimators for the M/M/1 queue
- Accelerated random search for constrained global optimization assisted by radial basis function surrogates
- Sequential design strategies for mean response surface metamodeling via stochastic kriging with adaptive exploration and exploitation
- Least angle regression. (With discussion)
- Analyzing stochastic computer models: a review with opportunities
- Generalized polynomial chaos-informed efficient stochastic kriging
- A novel nested stochastic Kriging model for response noise quantification and reliability analysis
- Efficient VaR and CVaR Measurement via Stochastic Kriging
- The effects of common random numbers on stochastic kriging metamodels
- Sequential Design of Experiment for Sparse Polynomial Chaos Expansions
- Design and Analysis of Simulation Experiments
- The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations
- Stochastic mathematical models for the spread of COVID-19: a novel epidemiological approach
- POLYNOMIAL-CHAOS-BASED KRIGING
- Enhancing Stochastic Kriging Metamodels with Gradient Estimators
- Emulators for stochastic simulation codes
- Multielement polynomial chaos kriging-based metamodelling for Bayesian inference of non-smooth systems
- The Elements of Statistical Learning
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