Two-layer EM algorithm for ALD mixture regression models: a new solution to composite quantile regression
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Publication:1658381
DOI10.1016/j.csda.2017.06.002zbMath1466.62211OpenAlexW2702533159MaRDI QIDQ1658381
Publication date: 14 August 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10220/43534
robustnessEM algorithmasymmetric Laplace distributioncomposite quantile regressionmixture regression model
Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08)
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Ultra-high dimensional variable screening via Gram-Schmidt orthogonalization ⋮ Optimal subsampling for composite quantile regression in big data
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