Asymptotic normality of conditional density estimation under truncated, censored and dependent data

DOI10.1080/03610926.2019.1619769OpenAlexW2948731912WikidataQ127707839 ScholiaQ127707839MaRDI QIDQ5078030

Hongbing Zhou, Qiu-Li Guo, Han-Ying Liang

Publication date: 20 May 2022

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

Full work available at URL: https://doi.org/10.1080/03610926.2019.1619769

zbMATH Keywords

asymptotic normalityconditional densitytruncated and censored data\( \alpha \)-mixinglocal linear and Nadaraya-Watson type estimators

Mathematics Subject Classification ID

Asymptotic distribution theory in statistics (62E20) Censored data models (62N01) Statistics (62-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Asymptotic normality of conditional density estimation with left-truncated and dependent data
• Kernel estimation of conditional density with truncated, censored and dependent data
• Wavelet estimation of conditional density with truncated, censored and dependent data
• Asymptotic properties of the kernel estimator of the conditional mode for the left truncated model
• Asymptotic normality and Berry-Esseen results for conditional density estimator with censored and dependent data
• Mixing: Properties and examples
• Nonparametric quantile estimation with correlated failure time data
• Asymptotic properties of conditional distribution estimator with truncated, censored and dependent data
• Nonparametric regression estimation for dependent functional data: asymptotic normality
• Semiparametric regression analysis for clustered failure time data
• A crossvalidation method for estimating conditional densities
• Asymptotic normality in conditional wavelet density with left-truncated α-mixing observations
• Some Limit Theorems for Random Functions. I
• Asymptotic properties of a generalized kaplan-meier estimator with some applications
• Estimation of conditional densities and sensitivity measures in nonlinear dynamical systems
• Conditions for linear processes to be strong-mixing
• Strong representation of a generalized product-limit estimator for truncated and censored data with some applications
• Modification of the Greenwood Formula for Correlated Response Times
• On Conditional Density Estimation
• Conditional Minimum Volume Predictive Regions for Stochastic Processes
• Nonparametric Estimation and Symmetry Tests for Conditional Density Functions
• A generalized product-limit estimator for truncated data
• Strong uniform consistency of nonparametric estimation of the censored conditional mode function
• Bandwidth selection for kernel conditional density estimation.

This page was built for publication: Asymptotic normality of conditional density estimation under truncated, censored and dependent data