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Projection pursuit Gaussian process regression

Published:2022-10-13 Issue: Volume: Page:1-11
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Chen Gecheng¹^ORCID,Tuo Rui¹

Affiliation:

1. Wm Michael Barnes ’64 Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX, USA

Funder

NSF

A&M Institute of Data Science Career Initiation Fellow Program

Division of Computing and Communication Foundations

Division of Mathematical Sciences

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2022.2121882

Reference64 articles.

1. Composite Gaussian process models for emulating expensive functions

2. Modeling Data from Computer Experiments: An Empirical Comparison of Kriging with MARS and Projection Pursuit Regression

3. A Gaussian process regression approach to a single-index model

4. Active Subspace Methods in Theory and Practice: Applications to Kriging Surfaces

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Monthly Pork Price Prediction Applying Projection Pursuit Regression: Modeling, Empirical Research, Comparison, and Sustainability Implications;Sustainability;2024-02-09

2. Parameters Measurement and Secrecy Diversity Analysis for Physical Layer Security in WSNs using Projection Pursuit Gaussian Process Regression;International Journal of Electrical and Electronics Research;2024-01-20

3. An Exploration of Prediction Performance Based on Projection Pursuit Regression in Conjunction with Data Envelopment Analysis: A Comparison with Artificial Neural Networks and Support Vector Regression;Mathematics;2023-11-26

4. Statistical Learning for Nonlinear Dynamical Systems with Applications to Aircraft-UAV Collisions;Technometrics;2023-05-30

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