Model selection for time series with nonlinear trend
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Publication:5104523
DOI10.1080/03610926.2021.1871628OpenAlexW3125501470MaRDI QIDQ5104523
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Publication date: 14 September 2022
Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610926.2021.1871628
Uses Software
Cites Work
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- The Adaptive Lasso and Its Oracle Properties
- Shrinkage estimation for linear regression with ARMA errors
- Autoregressive process modeling via the Lasso procedure
- Subset ARMA selection via the adaptive Lasso
- Testing the null hypothesis of stationarity against the alternative of a unit root. How sure are we that economic time series have a unit root?
- The estimation of the order of an ARMA process
- Time series: theory and methods.
- Asymptotics for Lasso-type estimators.
- Regression Models with Time Series Errors
- Partial autocorrelation parameterization for subset autoregression
- Gaussian Maximum Likelihood Estimation For ARMA Models. I. Time Series
- Properties of Predictors in Misspecified Autoregressive Time Series Models
- Regression and time series model selection in small samples
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Prediction Interval for Autoregressive Time Series via Oracally Efficient Estimation of Multi‐Step‐Ahead Innovation Distribution Function
- Oracle model selection for correlated data via residuals
- Testing for seasonal means in time series data
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