A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
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Publication:6636547
DOI10.1080/00401706.2019.1638834MaRDI QIDQ6636547
Siyu Tao, Yichi Zhang, Wei Chen, Daniel W. Apley
Publication date: 12 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- The design and analysis of computer experiments.
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- Sliced Inverse Regression for Dimension Reduction
- ANALYSIS OF PROTEIN ACTIVITY DATA BY GAUSSIAN STOCHASTIC PROCESS MODELS
- Sufficient Dimension Reduction via Inverse Regression
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