has been cited by the following article(s):
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[1]
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Data augmentation based estimation for the censored composite quantile regression neural network model
Applied Soft Computing,
2022
DOI:10.1016/j.asoc.2022.109381
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[2]
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Data augmentation based estimation for the censored composite quantile regression neural network model
Applied Soft Computing,
2022
DOI:10.1016/j.asoc.2022.109381
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[3]
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Data augmentation based estimation for the censored composite quantile regression neural network model
Applied Soft Computing,
2022
DOI:10.1016/j.asoc.2022.109381
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[4]
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Data augmentation based estimation for the censored composite quantile regression neural network model
Applied Soft Computing,
2022
DOI:10.1016/j.asoc.2022.109381
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[5]
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General composite quantile regression: Theory and methods
Communications in Statistics - Theory and Methods,
2019
DOI:10.1080/03610926.2019.1568493
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[6]
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An effective method to reduce the computational complexity of composite quantile regression
Computational Statistics,
2017
DOI:10.1007/s00180-017-0749-8
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[7]
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Estimation of linear composite quantile regression using EM algorithm
Statistics & Probability Letters,
2016
DOI:10.1016/j.spl.2016.05.019
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