Order selection for same-realization predictions in autoregressive processes
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Publication:2368859
DOI10.1214/009053605000000525zbMath1086.62105arXivmath/0602326OpenAlexW2094597214WikidataQ56390561 ScholiaQ56390561MaRDI QIDQ2368859
Ching-Zong Wei, Ching-Kang Ing
Publication date: 28 April 2006
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/math/0602326
Inference from stochastic processes and prediction (62M20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10)
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Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
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- Unnamed Item
- Unnamed Item
- VAR forecasting under misspecification
- A conversation with Hirotugu Akaike
- Adaptive prediction by least squares predictors in stochastic regression models with applications to time series
- Asymptotically efficient selection of the order of the model for estimating parameters of a linear process
- Consistent autoregressive spectral estimates
- Estimating the dimension of a model
- Asymptotically efficient autoregressive model selection for multistep prediction
- On same-realization prediction in an infinite-order autoregressive process.
- AIC, overfitting principles, and the boundedness of moments of inverse matrices for vector autotregressions and related models.
- Fitting autoregressive models for prediction
- A Note on Mean‐squared Prediction Errors of the Least Squares Predictors in Random Walk Models
- How Many Variables Should be Entered in a Regression Equation?
- Properties of Predictors in Misspecified Autoregressive Time Series Models
- An optimal selection of regression variables
- A Biometrics Invited Paper. The Analysis and Selection of Variables in Linear Regression
- Selection of the order of an autoregressive model by Akaike's information criterion
- A Bayesian extension of the minimum AIC procedure of autoregressive model fitting
- On Estimating Conditional Mean-Squared Prediction Error in Autoregressive Models
- Model Selection and Multimodel Inference
- Some Comments on C P
- A new look at the statistical model identification
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