# Robust smoothed canonical correlation analysis for functional data

arXiv: https://arxiv.org/abs/2011.10576 · HTML: https://mlsanity.com/paper/2011.10576/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Nov 2020.

## Built on by (most cited first, 1 of 1)

- [Dimensionality reduction for prediction: Application to Bitcoin and Ethereum](https://mlsanity.com/paper/2112.15036/) (2021)

## Abstract (arXiv)

This paper provides robust estimators for the first canonical correlation and directions of random elements on Hilbert separable spaces by using robust association and scale measures combined with basis expansion and/or penalizations as a regularization tool. Under regularity conditions, the resulting estimators are consistent.