Altering Gaussian process to Student-t process for maximum distribution construction

DOI10.1080/00207721.2020.1838663OpenAlexW3100250056MaRDI QIDQ5028003

Qin Yu, Maria Fasli, Wei-Dong Wang

Publication date: 8 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2020.1838663

zbMATH Keywords

sequential Monte CarloGaussian process regressionmaximum distributionBayesian optimisationStudent-\(t\) process regression

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Spearmint

Cites Work

• Computationally efficient algorithm for Gaussian process regression in case of structured samples
• Lipschitzian optimization without the Lipschitz constant
• Adaptive multiple importance sampling for Gaussian processes
• Efficient Gaussian process regression for large datasets
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