Results 11 to 20 of about 1,562 (177)
Kriging and Prediction of Nonlinear Functionals
Austrian Journal of Statistics, 2016 The prediction of a nonlinear functional of a random field is studied. The covariance-matching constrained kriging is considered. It is proved that the optimization problem induced by it always has a solution. The proof is constructive and it provides an
Alexander Kukush, István Fazekas
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Function-on-Function Kriging, With Applications to Three-Dimensional Printing of Aortic Tissues [PDF]
Technometrics, 2020 3D-printed medical prototypes, which use synthetic metamaterials to mimic biological tissue, are becoming increasingly important in urgent surgical applications. However, the mimicking of tissue mechanical properties via 3D-printed metamaterial can be difficult and time-consuming, due to the functional nature of both inputs (metamaterial structure) and
Jialei Chen 0002 +3 more
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Sliced Gradient-Enhanced Kriging for High-Dimensional Function Approximation [PDF]
SIAM Journal on Scientific Computing, 2023 Gradient-enhanced Kriging (GE-Kriging) is a well-established surrogate modelling technique for approximating expensive computational models. However, it tends to get impractical for high-dimensional problems due to the size of the inherent correlation matrix and the associated high-dimensional hyper-parameter tuning problem.
Kai Cheng, Ralf Zimmermann 0002
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Kriging with Nonparametric Variance Function Estimation [PDF]
Biometrics, 1999 Summary. A method for fitting regression models to data that exhibit spatial correlation and heteroskedas‐ticity is proposed. It is well known that ignoring a nonconstant variance does not bias least‐squares estimates of regression parameters; thus, data analysts are easily lead to the false belief that moderate heteroskedas‐ticity can generally be ...
Opsomer, Jean +4 more
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Intrinsic random functions and universal kriging on the circle [PDF]
Statistics & Probability Letters, 2016 14 pages, initial ...
Chunfeng Huang +2 more
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On the Effect of Covariance Function Estimation on the Accuracy of Kriging Predictors [PDF]
Bernoulli, 2001 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Putter, Hein, Alastair Young, G.
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Soft Tissue Deformation Modeling in the Procedure of Needle Insertion: A Kriging-Based Method
Chinese Journal of Mechanical Engineering, 2022 The simulation and planning system (SPS) requires accurate and real-time feedback regarding the deformation of soft tissues during the needle insertion procedure. Traditional mechanical-based models such as the finite element method (FEM) are widely used
Yong Lei, Murong Li, Dedong Gao
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Applied Sciences, 2022 To evaluate the functional reliability of the pyrotechnic igniter in the failure mode of unstable combustion at low temperature, a reliability and reliability sensitivity analysis method based on the combination of an interior ballistic model and Kriging
Lei Niu +5 more
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Advanced Kriging response surface approach for efficient design optimization
Nihon Kikai Gakkai ronbunshu, 2014 In this research, a Gradient-Vector Product (GVP) enhanced Kriging response surface model approach has been developed in which the GVP is defined by the gradient vector of objective function with respect to design variables as well as an arbitral unit ...
Wataru YAMAZAKI
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Fast Performance Modeling across Different Database Versions Using Partitioned Co-Kriging
Applied Sciences, 2021 Database systems have a large number of configuration parameters that control functional and non-functional properties (e.g., performance and cost). Different configurations may lead to different performance values.
Rong Cao +6 more
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