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LADE-Based Inference for ARMA Models With Unspecified and Heavy-Tailed Heteroscedastic Noises 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2015, 卷号: 110, 期号: 510, 页码: 784-794
Authors:  Zhu, Ke;  Ling, Shiqing
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ARMA(p, q) models  Asymptotic normality  G/ARCH noises  Heavy-tailed noises  LADE  Random weighting approach  Self-weighted LADE  Sign-based portmanteau test  Strong consistency