Double smoothing local linear estimation in nonlinear time series
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Publication:6107573
DOI10.1080/03610926.2021.1927096OpenAlexW3172468834MaRDI QIDQ6107573
Wan Tang, Unnamed Author, Guoxin Zuo, Unnamed Author
Publication date: 3 July 2023
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1927096
asymptotic propertiestime serieslocal linear regressionnon parametric regressiondouble smoothing local linear regression
Cites Work
- Statistical inference in the partial linear models with the double smoothing local linear regression method
- Double-smoothing for bias reduction in local linear regression
- Mixing: Properties and examples
- Bootstrap of kernel smoothing in nonlinear time series
- Multivariate locally weighted least squares regression
- Local linear regression smoothers and their minimax efficiencies
- Weak dependence. With examples and applications.
- Double-smoothing for varying coefficient models
- Remarks on Some Nonparametric Estimates of a Density Function
- Nonlinear autoregressive processes
- Efficient estimation of conditional variance functions in stochastic regression
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