Principal component analysis

  1. Unweighted HJM setting supports yield-curve modeling with negative yields
    New approach to Heath–Jarrow–Morton framework using unweighted function spaces and functional PCA, enabling better yield curve modeling with support for negative interest rates.
  2. Quantitative Analysis of Polyphenols in Lonicera caerulea Based on Mid-Infrared Spectroscopy and Hybrid Variable Selection
    Mid-infrared spectroscopy with hybrid variable selection for quantitative polyphenol analysis in Lonicera caerulea, achieving 92% predictive accuracy in high-dimensional small-sample modeling.