Adaptive estimation for varying coefficient models with nonstationary covariates
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Publication:5076882
DOI10.1080/03610926.2018.1484483OpenAlexW2908238938WikidataQ128655667 ScholiaQ128655667MaRDI QIDQ5076882
Publication date: 17 May 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2018.1484483
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) Nonparametric estimation (62G05)
Cites Work
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- Functional-coefficient models for nonstationary time series data
- Estimation in semi-parametric regression with non-stationary regressors
- Varying coefficient partially nonlinear models with nonstationary regressors
- Recent advances in invariance principles for stationary sequences
- Nonparametric estimation in a nonlinear cointegration type model
- Nonparametric estimation in null recurrent time series.
- Nonlinear regressions with nonstationary time series
- Adaptive estimation for varying coefficient models
- Testing cointegration relationship in a semiparametric varying coefficient model
- Functional-coefficient cointegration models
- NONPARAMETRIC COINTEGRATING REGRESSION WITH ENDOGENEITY AND LONG MEMORY
- SEMIPARAMETRIC FUNCTIONAL COEFFICIENT MODELS WITH INTEGRATED COVARIATES
- A NONPARAMETRIC REGRESSION ESTIMATOR THAT ADAPTS TO ERROR DISTRIBUTION OF UNKNOWN FORM
- WEAK CONVERGENCE TO STOCHASTIC INTEGRALS FOR ECONOMETRIC APPLICATIONS
- ASYMPTOTIC THEORY FOR LOCAL TIME DENSITY ESTIMATION AND NONPARAMETRIC COINTEGRATING REGRESSION
- MARTINGALE LIMIT THEOREM REVISITED AND NONLINEAR COINTEGRATING REGRESSION
- PARTIALLY LINEAR MODELS WITH UNIT ROOTS
- Structural Nonparametric Cointegrating Regression
- Limit Theorems for Nonlinear Cointegrating Regression
- ESTIMATION AND INFERENCE FOR VARYING-COEFFICIENT MODELS WITH NONSTATIONARY REGRESSORS USING PENALIZED SPLINES
- ADAPTIVE NONPARAMETRIC REGRESSION WITH CONDITIONAL HETEROSKEDASTICITY
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Functional-Coefficient Regression Models for Nonlinear Time Series
- CONVERGENCE OF INTEGRAL FUNCTIONALS OF STOCHASTIC PROCESSES
- Local Linear Estimation of a Nonparametric Cointegration Model
- Estimation of semi-varying coefficient models with nonstationary regressors
- Estimation for single-index and partially linear single-index integrated models
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