LASSO-type estimations for threshold autoregressive and heteroscedastic time series models.
In this thesis, we propose Least Absolute Shrinkage and Selection Operator (LASSO) type estimators to perform simultaneous parameter estimation and model selection for five specific univariate and multivariate time series models, and develop several algorithms to compute these estimators. The fi...
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主要作者: | Muhammad Jaffri Mohd Nasir |
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格式: | UMK Etheses |
語言: | English |
出版: |
2020
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在線閱讀: | http://discol.umk.edu.my/id/eprint/10751/1/Muhammad%20Jaffri%20Mohd%20Nasir.pdf http://discol.umk.edu.my/id/eprint/10751/ |
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