# Bandwidth selection for nonparametric modal regression

arXiv: https://arxiv.org/abs/1711.00177 · HTML: https://mlsanity.com/paper/1711.00177/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 1 Nov 2017.

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

- [Space Partitioning and Regression Mode Seeking via a Mean-Shift-Inspired Algorithm](https://mlsanity.com/paper/2104.10103/) (2021)

## Abstract (arXiv)

In the context of estimating local modes of a conditional density based on kernel density estimators, we show that existing bandwidth selection methods developed for kernel density estimation are unsuitable for mode estimation. We propose two methods to select bandwidths tailored for mode estimation in the regression setting. Numerical studies using synthetic data and a real-life data set are carried out to demonstrate the performance of the proposed methods in comparison with several well received bandwidth selection methods for density estimation.