Linear Regression Using Principal Components from General Hilbert-Space-Valued Covariates

Xinyi Li, Margaret Hoch, Michael R. Kosorok

We introduce Adaptive Subspace PCA (AS-PCA), a framework for principal component analysis of random elements in a general separable Hilbert space. AS-PCA projects the covariance op…