On semiparametric inference for periodically modulated density functions

DOI10.1080/03610926.2022.2064501OpenAlexW4293235361MaRDI QIDQ6067502

Jan Beran

Publication date: 17 November 2023

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2022.2064501

zbMATH Keywords

seasonalitykernel density estimationconfidence bandsemiparametric density estimationCOVID-19

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Gaussian approximation of suprema of empirical processes
• Anti-concentration and honest, adaptive confidence bands
• Uniform central limit theorems for kernel density estimators
• On the maximal deviation of k-dimensional density estimates
• Using specially designed exponential families for density estimation
• Bandwidth selection for kernel log-density estimation
• Strong approximation of density estimators from weakly dependent observations by density estimators from independent observations
• On some global measures of the deviations of density function estimates
• Comparison and anti-concentration bounds for maxima of Gaussian random vectors
• Gaussian approximations and multiplier bootstrap for maxima of sums of high-dimensional random vectors
• A Brief Survey of Bandwidth Selection for Density Estimation
• Remarks on Some Nonparametric Estimates of a Density Function
• Optimal Rates of Convergence for Deconvolving a Density
• Kernel Smoothing: Principles, Methods and Applications
• Multivariate Density Estimation
• On Estimation of a Probability Density Function and Mode
• Smoothing Spline Semiparametric Density Models