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Bayesian regression based on principal components for high-dimensional data

✍ Scribed by Lee, Jaeyong; Oh, Hee-Seok

Book ID
120431315
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
705 KB
Volume
117
Category
Article
ISSN
0047-259X

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A note on principal component analysis for multi-dimensional data
✍ Jianguo Sun πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 77 KB

We consider the application of principal component analysis (PCA) to the analysis of high-dimension data with the analysis goal being calibration. Two commonly used versions of PCA are compared and it is showed that contrast to the expected, the simpliΓΏed version could underestimate prediction error