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Asymptotic inference for ar models with heavy-tailed g-Garch noises
Zhang, Rongmao; Ling, Shiqing - In: Econometric theory 31 (2015) 4, pp. 880-890
Persistent link: https://www.econbiz.de/10011341924
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Inference for heavy-tailed and multiple-threshold double autoregressive models
Yang, Yaxing; Ling, Shiqing - In: Journal of business & economic statistics : JBES ; a … 35 (2017) 2, pp. 318-333
Persistent link: https://www.econbiz.de/10011704205
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Self-weighted LAD-based inference for heavy-tailed threshold autoregressive models
Yang, Yaxing; Ling, Shiqing - In: Journal of econometrics 197 (2017) 2, pp. 368-381
Persistent link: https://www.econbiz.de/10011818364
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LADE-based inferences for autoregressive models with heavy-tailed G-GARCH(1, 1) noise
Zhang, Xingfa; Zhang, Rongmao; Li, Yuan; Ling, Shiqing - In: Journal of econometrics 227 (2022) 1, pp. 228-240
Persistent link: https://www.econbiz.de/10013441651
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Inference for the VEC(1) model with a heavy-tailed linear process errors
Guo, Feifei; Ling, Shiqing - In: Econometric reviews 42 (2023) 9/10, pp. 806-833
Persistent link: https://www.econbiz.de/10014420347