Transformation and Additivity in Gaussian Processes
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Publication:6636573
DOI10.1080/00401706.2019.1665592MaRDI QIDQ6636573
Author name not available (Why is that?), V. Roshan Joseph
Publication date: 12 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
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- Accurate emulators for large-scale computer experiments
- Variable selection for nonparametric Gaussian process priors: Models and computational strategies
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- The design and analysis of computer experiments
- Composite Gaussian process models for emulating expensive functions
- On sensitivity estimation for nonlinear mathematical models
- A new family of power transformations to improve normality or symmetry
- Penalized Gaussian Process Regression and Classification for High-Dimensional Nonlinear Data
- Penalized blind kriging in computer experiments
- Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction
- Estimating Optimal Transformations for Multiple Regression and Correlation
- Bayesian Prediction of Transformed Gaussian Random Fields
- Orthogonal Gaussian process models
- Maximum projection designs for computer experiments
- Strictly Proper Scoring Rules, Prediction, and Estimation
- Variable selection for high dimensional Bayesian density estimation: application to human exposure simulation
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