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Original Articles

Weighted quantile regression for AR model with infinite variance errors

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Pages 715-731 | Received 13 Oct 2011, Accepted 23 May 2012, Published online: 09 Jul 2012

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Yi Wu & Xuejun Wang. (2023) Marcinkiewicz–Zygmund type strong law of large numbers for weighted sums of random variables with infinite moment and its applications. Journal of Statistical Computation and Simulation 93:11, pages 1694-1715.
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A. Aghamohammadi & M. Bahmani. (2022) Bayesian weighted composite quantile regression estimation for linear regression models with autoregressive errors. Communications in Statistics - Theory and Methods 0:0, pages 1-20.
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Articles from other publishers (7)

Peng Chen, Qi-Man Shao & Lihu Xu. (2023) A probability approximation framework: Markov process approach. The Annals of Applied Probability 33:2.
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Chi Yao, Wei Yu & Xuejun Wang. (2022) Strong Consistency for the Conditional Self-weighted M Estimator of GRCA(p) Models. Methodology and Computing in Applied Probability 25:1.
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Xiaochen Wang & Yuping Song. (2021) Self-weighted quantile estimation of autoregressive conditional duration model. Journal of the Korean Statistical Society 51:1, pages 87-108.
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Marcel D. Carcea. (2018) Gini autocovariance function used for time series with heavy‐tail distributions. WIREs Computational Statistics 10:3.
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Xinghui Wang & Shuhe Hu. (2016) Asymptotics of self-weighted M-estimators for autoregressive models. Metrika 80:1, pages 83-92.
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Marcel Carcea & Robert Serfling. (2015) A Gini Autocovariance Function for Time Series Modelling. Journal of Time Series Analysis 36:6, pages 817-838.
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Yunlu Jiang & Hong Li. (2014) Penalized weighted composite quantile regression in the linear regression model with heavy-tailed autocorrelated errors. Journal of the Korean Statistical Society 43:4, pages 531-543.
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