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stat.ME2026
Functional Multiple-Set Canonical Correlation Analysis Revisited: From Finite-Dimensional Samples to Infinite-Dimensional Populations
Michio Yamamoto, Yoshikazu Terada
We develop a population-level formulation of functional multiple-set canonical correlation analysis (P-FMCCA) for multivariate functional data in an infinite-dimensional Hilbert sp…
math.ST2026
Exponential mixing properties of nonlinear functional autoregressive models
Shuntarou Suzuki, Yoshikazu Terada
The importance of functional data analysis has increased substantially in recent years. In machine learning, nonlinear function regression based on deep neural networks is referred…