Strong consistency of estimators in partially linear models for longitudinal data with mixing-dependent structure
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Publication:366025
DOI10.1186/1029-242X-2011-112zbMath1447.62040WikidataQ59267781 ScholiaQ59267781MaRDI QIDQ366025
Publication date: 10 September 2013
Published in: Journal of Inequalities and Applications (Search for Journal in Brave)
longitudinal datastrong consistencypartially linear modelestimator of nonparametric functionsmixing dependent
Directional data; spatial statistics (62H11) Density estimation (62G07) Linear regression; mixed models (62J05)
Related Items (2)
The Berry-Esseen bounds of wavelet estimator for regression model whose errors form a linear process with a \(\rho\)-mixing ⋮ On the exponential inequalities for widely orthant-dependent random variables
Cites Work
- Moment consistency of estimators in partially linear models under NA samples
- Nonparametric regression estimation in models with weak error's structure
- Nonparametric curve estimation with time series errors
- An asymptotic theory for semiparametric generalized least squares estimation in partially linear regression models
- Nonparametric regression estimation under mixing conditions
- Empirical likelihood inference for partial linear models under martingale difference sequence
- Generalized empirical likelihood inference in semiparametric regression model for longitudinal data
- Statistical inference for panel data semiparametric partially linear regression models with heteroscedastic errors
- Asymptotic normality in partial linear models based on dependent errors
- Partially linear models and polynomial spline approximations for the analysis of unbalanced panel data
- On the central limit theorem for \(\rho\)-mixing sequences of random variables
- Asymptotic normality of the recursive kernel regression estimate under dependence conditions
- Semiparametric regression under long-range dependent errors.
- Estimation of the variance of partial sums for \(\rho\)-mixing random variables
- Strong laws and summability for \(\varphi\)-mixing sequences of random variables
- Asymptotic properties in partial linear models under dependence
- Maximal inequalities for partial sums of \(\rho\)-mixing sequences
- Complete moment convergence of moving average processes under \(\varphi \)-mixing assumptions
- Empirical likelihood-based inference in a partially linear model for longitudinal data
- Asymptotics of estimators in semi-parametric model under NA samples
- Limiting behaviour of moving average processes under \(\varphi \)-mixing assumption
- Profile-kernel versus backfitting in the partially linear models for longitudinal/clustered data
- Root-N-Consistent Semiparametric Regression
- Semiparametric Stochastic Mixed Models for Longitudinal Data
- An Adaptive Estimator of the Autocorrelation Coefficient in Regression Models with Autoregressive Errors
- Local Polynomial Estimation of Regression Functions for Mixing Processes
- CONVERGENCE RATES OF ESTIMATORS IN PARTIAL LINEAR REGRESSION MODELS WITH MA(∞) ERROR PROCESS
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- RATES OF CONVERGENCE IN SEMI‐PARAMETRIC MODELLING OF LONGITUDINAL DATA
- Generalized empirical likelihood methods for analyzing longitudinal data
- New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
- A stationary rho-mixing Markov chain which is not ``interlaced rho-mixing
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