2017/11/01 by Haiming Zhou, Zhou, Haiming, Xianzheng Huang +1
Engineering · Mathematics · #Computation (stat.CO) #Control Systems and Identification #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Structural Health Monitoring Techniques
paper · pdf · doi:10.48550/arxiv.1711.00177
openalex publication_date 2017/11/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.