UNIFORM CONSISTENCY OF NONSTATIONARY KERNEL-WEIGHTED SAMPLE COVARIANCES FOR NONPARAMETRIC REGRESSION
From MaRDI portal
Publication:5741623
DOI10.1017/S0266466615000109zbMath1441.62794OpenAlexW3124695522MaRDI QIDQ5741623
Degui Li, Peter C. B. Phillips, J. T. Gao
Publication date: 29 July 2016
Published in: Econometric Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1017/s0266466615000109
Applications of statistics to economics (62P20) Nonparametric regression and quantile regression (62G08) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Asymptotic properties of nonparametric inference (62G20)
Related Items (9)
Estimating smooth structural change in cointegration models ⋮ LIMIT THEORY FOR LOCALLY FLAT FUNCTIONAL COEFFICIENT REGRESSION ⋮ Uniform and \(L_p\) convergences for nonparametric continuous time regressions with semiparametric applications ⋮ Estimation of the variance function in structural break autoregressive models with non‐stationary and explosive segments ⋮ Changepoint Detection in Heteroscedastic Random Coefficient Autoregressive Models ⋮ Uniform convergence rates for wavelet curve estimation in sup-norm loss ⋮ A weighted sieve estimator for nonparametric time series models with nonstationary variables ⋮ Additive nonparametric models with time variable and both stationary and nonstationary regressors ⋮ Standard Errors for Nonparametric Regression
Cites Work
- Unnamed Item
- Unnamed Item
- Statistical Inference in Instrumental Variables Regression with I(1) Processes
- Trending time-varying coefficient time series models with serially correlated errors
- Functional-coefficient models for nonstationary time series data
- Estimation in semi-parametric regression with non-stationary regressors
- Robust estimation in a nonlinear cointegration model
- Nonparametric regression estimation under mixing conditions
- Nonparametric estimation in a nonlinear cointegration type model
- Asymptotics for linear processes
- Nonparametric statistics for stochastic processes. Estimation and prediction.
- Strong convergence of sums of \(\alpha \)-mixing random variables with applications to density estimation
- Statistical estimation in varying coefficient models
- A general class of exponential inequalities for martingales and ratios
- Nonparametric estimation in null recurrent time series.
- Semiparametric estimation in triangular system equations with nonstationarity
- Uniform convergence rates for a class of martingales with application in non-linear cointegrating regression
- Functional-coefficient cointegration models
- LOCAL LINEAR FITTING UNDER NEAR EPOCH DEPENDENCE: UNIFORM CONSISTENCY WITH CONVERGENCE RATES
- ASYMPTOTIC THEORY FOR LOCAL TIME DENSITY ESTIMATION AND NONPARAMETRIC COINTEGRATING REGRESSION
- Optimal Inference in Cointegrated Systems
- Structural Nonparametric Cointegrating Regression
- Multiple Time Series Regression with Integrated Processes
- Weak and strong uniform consistency of kernel regression estimates
- MULTIVARIATE LOCAL POLYNOMIAL REGRESSION FOR TIME SERIES:UNIFORM STRONG CONSISTENCY AND RATES
- NONPARAMETRIC COINTEGRATING REGRESSION WITH NNH ERRORS
- UNIFORM CONVERGENCE RATES OF KERNEL ESTIMATORS WITH HETEROGENEOUS DEPENDENT DATA
This page was built for publication: UNIFORM CONSISTENCY OF NONSTATIONARY KERNEL-WEIGHTED SAMPLE COVARIANCES FOR NONPARAMETRIC REGRESSION