Local polynomial quasi-likelihood regression with truncated and dependent data

DOI10.1080/02331888.2011.648638zbMath1440.62137OpenAlexW1974437039MaRDI QIDQ2863068

Guo-Liang Fan, Han-Ying Liang, Jiang-Feng Wang

Publication date: 21 November 2013

Published in: Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02331888.2011.648638

zbMATH Keywords

asymptotic normalityquasi-likelihood\(\alpha\)-mixingtruncated datalocal polynomial

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Density estimation (62G07) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20) Censored data models (62N01)

Related Items

Weighted estimation of conditional mean function with truncated, censored and dependent data ⋮ Quantile regression and variable selection for partially linear model with randomly truncated data

Cites Work

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• Strong convergence in nonparametric regression with truncated dependent data
• The central limit theorem under random truncation
• Asymptotic properties of the product limit estimate under random truncation
• Asymptotic normality for \(L_1\) norm kernel estimator of conditional median under \(\alpha\)-mixing dependence
• Local polynomial estimation of a conditional mean function with dependent truncated data
• Estimation of the truncation probability in the random truncation model
• Local linear regression for generalized linear models with missing data.
• A large sample study of the life table and product limit estimates under random censorship
• Nonparametric regression estimation for dependent functional data: asymptotic normality
• 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
• Semiparametric regression analysis for clustered failure time data
• Some Limit Theorems for Random Functions. I
• LOCAL POLYNOMIAL QUASI-LIKELIHOOD REGRESSION ON RANDOM FIELDS
• 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
• Modification of the Greenwood Formula for Correlated Response Times
• One-step Local Quasi-likelihood Estimation
• Estimating a distribution function with truncated data

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