Asymptotic Normality for Regression Function Estimate Under Truncation and α-Mixing Conditions
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Publication:3015911
DOI10.1080/03610921003666420zbMath1216.62061OpenAlexW2002346236MaRDI QIDQ3015911
Publication date: 13 July 2011
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610921003666420
Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Estimation in survival analysis and censored data (62N02)
Related Items (3)
Local \(M\)-estimation for conditional variance function with dependent data ⋮ Asymptotic Properties of Conditional Quantile Estimator Under Left-Truncated and α-Mixing Conditions ⋮ Convergence rate of the kernel regression estimator for associated and truncated data
Cites Work
- Unnamed Item
- Unnamed Item
- Strong convergence in nonparametric regression with truncated dependent data
- Asymptotic properties of the product limit estimate under random truncation
- Uniform strong estimation under \(\alpha\)-mixing, with rates
- Prediction from randomly right censored data
- Almost sure representations of the product-limit estimator for truncated data
- Asymptotic properties of a nonparametric regression function estimator with randomly truncated data
- Large deviations and law of the iterated logarithm for partial sums normalized by the largest absolute observation
- Some Limit Theorems for Random Functions. I
- A note on the product-limit estimator under right censoring and left truncation
- Conditions for linear processes to be strong-mixing
- On the Strong Mixing Property for Linear Sequences
- Mathematical Statistics
- Convergence of Distributions Generated by Stationary Stochastic Processes
- Estimating a distribution function with truncated data
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