Bump hunting with non-Gaussian kernels

DOI10.1214/009053604000000715zbMath1056.62049arXivmath/0503676OpenAlexW3106508722MaRDI QIDQ1766130

Chunming Zhang, Michael C. Minnotte, Hall, Peter

Publication date: 28 February 2005

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/math/0503676

zbMATH Keywords

bootstrapmodalitykernel methodunimodalitynonparametric curve estimationcritical bandwidthbandwidth choicemode test

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items

A New Regression Model: Modal Linear Regression, Bandwidth selection for kernel density estimation of fat-tailed and skewed distributions, Modal non‐linear regression in the presence of Laplace measurement error, A Review on Modal Clustering, A Computational Perspective on Projection Pursuit in High Dimensions: Feasible or Infeasible Feature Extraction, Non-parametric adaptive bandwidth selection for kernel estimators of spatial intensity functions, Mode testing via higher-order density estimation, Bandwidth-based nonparametric inference, Singularity estimation via structural intensity: applications and modifications, The circular SiZer, inferred persistence of shape parameters and application to early stem cell differentiation, Mode hunting through active information, Local-Likelihood Transformation Kernel Density Estimation for Positive Random Variables, Comparison of Kernel Density Estimators with Assumption on Number of Modes, Nonparametric statistical learning based on modal regression

Uses Software

• SiZer

Cites Work

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