On the asymptotic normality and efficiency of Kronecker envelope principal component analysis

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  Dimension Estimation in Sufficient Dimension Reduction through Pseudo-Covariates

  Huang, S.-H. (PI)

  1/08/20 → 31/07/21

  Project: Research

  • Principal Component Analysis 100%
  • Random Field 100%
  • Asymptotic Normality 100%
  • Principal Coordinate Analysis (PCoA) 50%
  • Spatial Random Fields 50%

• Informative Canonical Correlation Analysis with Applications to Image Data(2/2)

  Huang, S.-H. (PI)

  1/08/19 → 31/10/20

  Project: Research

  • Optimal Design 100%
  • Binary Response Model 50%
  • Principal Component Analysis 50%
  • Binary Response 50%
  • Response Model 50%