Functional Data Analysis (FDA) is an increasingly central statistical framework that extends conventional data analysis to observations recorded as functions, curves or shapes. This approach ...

Functional principal component analysis (FPCA) is a popular approach in functional data analysis to explore major sources of variation in a sample of random curves. These major sources of variation ...

I taught an eight-hour short course "Functional Data Analysis Using R" at the International Chinese Statistical Association (ICSA) 2021 Applied Statistics Symposium on September 12, 2021. Introduction ...

Bayes classifiers for functional data pose a challenge. One difficulty is that probability density functions do not exist for functional data, so the classical Bayes classifier using density quotients ...