SETAR model selection -- a bootstrap approach
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Publication:2488425
DOI10.1007/BF02741315zbMath1091.62083MaRDI QIDQ2488425
Publication date: 24 May 2006
Published in: Computational Statistics (Search for Journal in Brave)
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Nonparametric statistical resampling methods (62G09)
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- Threshold models in non-linear time series analysis
- Matched-block bootstrap for dependent data
- Sieve bootstrap for time series
- The jackknife and the bootstrap for general stationary observations
- Consistency and limiting distribution of the least squares estimator of a threshold autoregressive model
- Cross‐validation Criteria for Setar Model Selection
- Bootstrap Model Selection
- A threshold AR(1) model
- A multiple-threshold AR(1) model
- A note on the corrected Akaike information criterion for threshold autoregressive models
- Testing and Modeling Threshold Autoregressive Processes
- On blocking rules for the bootstrap with dependent data
- Strong consistency of conditional least squares estimators in multiple regime threshold autoregressive models