This online supplementary material contains the following files:
1. acc-form.pdf:  Author Contributions Checklist Form, which documents the submission of code and data to ensure the reproducibility of the study.
2. code.zip: A complete set of source codes for both our proposed OCRL method and several alternatives used for the comparison.
3. SM-Online Change Rate Learning for Functional Data.pdf: Supplementary Material for the paper“Online Change Rate Learning for Functional Data”, including the regularity assumptions, the corollary for the covariance function, the data-driven online bandwidth selection procedure, some
extra simulations, an extended real data example, and the technical results.