scientific article; zbMATH DE number 7543500

DOI10.3770/j.issn:2095-2651.2021.06.008zbMath1499.60077MaRDI QIDQ5081626

Kun Cheng, Ming Zhou Xu

Publication date: 17 June 2022

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

kernel density estimatorlarge deviationsdirectional datasymmetry test

Mathematics Subject Classification ID

Density estimation (62G07) Large deviations (60F10)

Cites Work

• Kernel estimators of density function of directional data
• U-processes: Rates of convergence
• On general minimax theorems
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• Moderate deviations and large deviations for kernel density estimators
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• Moderate deviations and law of the iterated logarithm in \(L_1(\mathbb R^d)\) for kernel density estimators
• Moderate Deviations Results for a Symmetry Testing Statistic Based on the Kernel Density Estimator for Directional Data
• An empirical process approach to the uniform consistency of kernel-type function estimators
• On consistency of kernel density estimators for randomly censored data: Rates holding uniformly over adaptive intervals
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