Bandwidth selection for nonparametric modal regression

DOI10.1080/03610918.2017.1402044OpenAlexW2963071156MaRDI QIDQ5085910

Xianzheng Huang, Haiming Zhou

Publication date: 30 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1711.00177

zbMATH Keywords

bootstrapcross-validationHausdorff distancemean shift algorithm

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07)

Related Items (4)

Semiparametric partially linear varying coefficient modal regression ⋮ Analyzing animal escape data with circular nonparametric multimodal regression ⋮ Space partitioning and regression maxima seeking via a mean-shift-inspired algorithm ⋮ Nonparametric statistical learning based on modal regression

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Nonparametric modal regression
• On global properties of variable bandwidth density estimators
• Statistical predictor identification
• A crossvalidation method for estimating conditional densities
• Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
• Methods for Estimating a Conditional Distribution Function
• Mixture of Regression Models With Varying Mixing Proportions: A Semiparametric Approach
• A Review and Comparison of Bandwidth Selection Methods for Kernel Regression
• Non-Parametric Inference for Density Modes
• Modelling Beyond Regression Functions: An Application of Multimodal Regression to Speed–Flow Data
• Bandwidth selection for kernel conditional density estimation.
• A comprehensive approach to mode clustering

This page was built for publication: Bandwidth selection for nonparametric modal regression