Bayesian inverse regression for supervised dimension reduction with small datasets

DOI10.1080/00949655.2021.1909025OpenAlexW3152737413MaRDI QIDQ3389641

Jinglai Li, Guang Lin, Xin Cai

Publication date: 23 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1906.08018

zbMATH Keywords

Gaussian processdimension reductionsupervised learningMonte Carlo simulationsliced inverse regression

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• UCI-ml
• LDR

Cites Work

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• A Review on Dimension Reduction
• Multifidelity Dimension Reduction via Active Subspaces
• Likelihood-Based Sufficient Dimension Reduction
• Sliced Inverse Regression with Regularizations
• Sufficient Dimension Reduction via Inverse Regression
• Comment

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