Kernel conditional density and mode estimation for psi-weakly dependent observations

DOI10.1080/03610926.2021.1944216MaRDI QIDQ6106180

Abdelkader Tatachak, Unnamed Author

Publication date: 27 June 2023

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

zbMATH Keywords

asymptotic normalitykernel estimationconditional modestrong consistencypsi-dependence

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Cites Work

• Unnamed Item
• Unnamed Item
• Kernel estimators of mode under \(\psi\)-weak dependence
• Probability and moment inequalities for sums of weakly dependent random variables, with applications
• Asymptotic properties of the kernel estimator of the conditional mode for the left truncated model
• A new weak dependence condition and applications to moment inequalities
• A note on prediction via estimation of the conditional mode function
• A kernel mode estimate under random left truncation and time series model: asymptotic normality
• Functional Estimation of a Density Under a New Weak Dependence Condition
• On kernel density and mode estimates for associated and censored data
• Non-parametric estimation of the conditional mode
• A Note on Ergodic Processes Prediction via Estimation of the Conditional Mode Function
• A nonparametric conditional mode estimate
• Asymptotic normality of kernel estimators of the conditional mode under strong mixing hypothesis
• A Note on Exponential Inequalities of ψ-Weakly Dependent Sequences
• Dependent Lindeberg central limit theorem and some applications
• Strong Consistency Rate for the Kernel Mode Estimator Under Strong Mixing Hypothesis and Left Truncation

This page was built for publication: Kernel conditional density and mode estimation for psi-weakly dependent observations