LOCAL LINEAR FITTING UNDER NEAR EPOCH DEPENDENCE: UNIFORM CONSISTENCY WITH CONVERGENCE RATES
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Publication:3168418
DOI10.1017/S0266466612000011zbMath1369.62075MaRDI QIDQ3168418
Degui Li, Oliver B. Linton, Zu-di Lu
Publication date: 31 October 2012
Published in: Econometric Theory (Search for Journal in Brave)
Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05) Statistical methods; economic indices and measures (91B82)
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Cites Work
- Unnamed Item
- Unnamed Item
- Weak convergence for weighted empirical processes of dependent sequences
- Strong near-epoch dependence
- Optimal rates of convergence for nonparametric estimators
- On the invariance principle for nonstationary mixingales
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Fitting time series models to nonstationary processes
- A note on geometric ergodicity of autoregressive conditional heteroscedasticity (ARCH) model
- Distribution-free strong consistency for nonparametric kernel regression involving nonlinear time series
- Strong convergence of sums of \(\alpha \)-mixing random variables with applications to density estimation
- Generalized autoregressive conditional heteroscedasticity
- Weak dependence beyond mixing and asymptotics for nonparametric regression
- Nonlinear time series. Nonparametric and parametric methods
- Consistent estimation of a general nonparametric regression function in time series
- Testing for change points in time series models and limiting theorems for NED sequences
- Non-linear time series and Markov chains
- Non-strong mixing autoregressive processes
- Nonparametric Estimation and Identification of Nonlinear ARCH Time Series Strong Convergence and Asymptotic Normality: Strong Convergence and Asymptotic Normality
- Structural Nonparametric Cointegrating Regression
- MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES
- Generalized Spectral Tests for Serial Dependence
- Invariance principles for dependent variables
- MIXING AND MOMENT PROPERTIES OF VARIOUS GARCH AND STOCHASTIC VOLATILITY MODELS
- Estimating Semiparametric ARCH(oo) Models by Kernel Smoothing Methods1
- UNIFORM CONVERGENCE RATES OF KERNEL ESTIMATORS WITH HETEROGENEOUS DEPENDENT DATA
- Some Limit Theorems for Stationary Processes
- Asymptotic normality of kernel density estimators under dependence