# Multiple functional regression with both discrete and continuous covariates

arXiv: https://arxiv.org/abs/1301.2656 · HTML: https://mlsanity.com/paper/1301.2656/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Jan 2013.

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

- [Functional Classwise Principal Component Analysis: A Novel Classification Framework](https://mlsanity.com/paper/2106.13959/) (2021)

## Abstract (arXiv)

In this paper we present a nonparametric method for extending functional regression methodology to the situation where more than one functional covariate is used to predict a functional response. Borrowing the idea from Kadri et al. (2010a), the method, which support mixed discrete and continuous explanatory variables, is based on estimating a function-valued function in reproducing kernel Hilbert spaces by virtue of positive operator-valued kernels.